Pith. sign in

Paper Citation Record · LEDGER

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization

As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2409.10310.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.10310 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T20:30:15.520002Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy51
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56159712-3baf-41b3-bb91-7006f40d8294 · outbound

This paper cites A review of motion planning for highway autonomous driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization A review of motion planning for highway autonomous driving

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.633356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:297e3f02fce0fd5ad33004ddc1f30e6d1d40c949a3584d78566548ff0ea33407

Observation e594849f-5e24-4fee-8228-3972be76a046 · outbound

This paper cites Planning and decision- making for autonomous vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Planning and decision- making for autonomous vehicles

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.629870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:358fa28bdc68a29d44680515759b66098757ed6a8a7b8090e5114c2e94e54a87

Observation 6c37626e-e5c6-4c93-b110-857bb6ee4908 · outbound

This paper cites Spatiotemporal receding horizon control with proactive interaction towards autonomous driving in dense traffic.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Spatiotemporal receding horizon control with proactive interaction towards autonomous driving in dense traffic

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.626307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:fa3646f2cff67f7e6813357a7fae5d00c238467076745b422265a572aef501b5

Observation ebe4a912-4f44-4f83-857d-5d65f47e8e63 · outbound

This paper cites Safe, optimal, real- time trajectory planning with a parallel constrained Bernstein algorithm.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Safe, optimal, real- time trajectory planning with a parallel constrained Bernstein algorithm

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.622696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:2d4f65d7c87572dec3b8ae0e4f47676356eba282e922949c6e410f97d7a0f834

Observation 18561d49-7467-43f3-96cd-de8a93b43f6b · outbound

This paper cites Interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predic- tions.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Interaction-aware motion planning for autonomous vehicles with multi-modal obstacle uncertainty predic- tions

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.618829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:c257ad0deeb0f15338e09787052c70691416a7fd6342128606e74bd01198c185

Observation d88573a0-cc63-4cd6-b0a9-1dd19fd71694 · outbound

This paper cites Alternat- ing direction method of multipliers for constrained iterative LQR in autonomous driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Alternat- ing direction method of multipliers for constrained iterative LQR in autonomous driving

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.601714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:ef2ce9416031afc18eefa9c3eac29f881ffa2a1c780009306d56de311d1870db

Observation b2840765-fd71-4eae-9868-a696d52a867c · outbound

This paper cites An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.584225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:d677cb248d1ef82661392e0c7157407334dea21045bdc64add755b98aed29267

Observation ea8d67f4-28a4-4d6b-adf6-8f575907ae5a · outbound

This paper cites Decentralized iLQR for cooperative trajectory planning of connected autonomous vehicles via dual consensus ADMM.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Decentralized iLQR for cooperative trajectory planning of connected autonomous vehicles via dual consensus ADMM

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.576416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:89fb11403773640890262656bc6f72a6d97c50bb09cd7334cc2cce54769b5337

Observation fdfca7c8-8ebd-4f7e-98e9-1d455b654c89 · outbound

This paper cites Enhanced intelligent driver model for two-dimensional motion planning in mixed traffic.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Enhanced intelligent driver model for two-dimensional motion planning in mixed traffic

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.615177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:f396c991c904df9cb4b051c56b2b0bf0e227ac2acb79d03f9f72492af3c88a25

Observation 6cd07861-521c-4c2e-a286-9181314cd626 · outbound

This paper cites Synchronous maneuver searching and trajectory planning for autonomous vehicles in dynamic traffic environments.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Synchronous maneuver searching and trajectory planning for autonomous vehicles in dynamic traffic environments

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.616839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:e85f8a167716ca5350164de27416e25fe04032f82ea4234612cb2932f6b4f102

Observation 6b343518-ab97-4cd9-a46e-9a0e683fc513 · outbound

This paper cites Fail-safe motion planning for online verification of autonomous vehicles using convex optimization.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Fail-safe motion planning for online verification of autonomous vehicles using convex optimization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.613951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:9fa3385d2dc96da5d46b8c400d1f83c0c7f68e16193ef6e384dbab83146a89bd

Observation 541ab2b9-76ba-4f9c-9f82-2ca634ebdbd2 · outbound

This paper cites Ef- ficient speed planning for autonomous driving in dynamic environment with interaction point model.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Ef- ficient speed planning for autonomous driving in dynamic environment with interaction point model

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.598476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:3db6335d9243a0189a89926cb40d3cfec69bed146cc032755db6708e9eee3459

Observation f12c1a3d-c5bd-4a8e-8386-cab1facf9693 · outbound

This paper cites Multi-model-based local path planning methodology for autonomous driving: An integrated framework.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Multi-model-based local path planning methodology for autonomous driving: An integrated framework

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.594336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:c7b790df29da64ebab5275cb0dc8a752bc10249c419215d11224d7c40b9e6637

Observation 1771b3b8-33aa-4edd-a6fc-392a22e16731 · outbound

This paper cites Ir- stp: Enhancing autonomous driving with interaction reasoning in spatio- temporal planning.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Ir- stp: Enhancing autonomous driving with interaction reasoning in spatio- temporal planning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.591216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:f46538c35ad6f27088b4c7768cc10a28d168dc089764aa387df9684f6580f92e

Observation 14dba5ab-6536-4fe3-bb09-c580a304e21a · outbound

This paper cites Efficient safety-enhanced velocity planning for autonomous driving with chance constraints.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Efficient safety-enhanced velocity planning for autonomous driving with chance constraints

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.587241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:d1f5f4c7b8d0d132704e9c3e98e56ccf9e2733b147725ac8687d53fa3f9066ad

Observation c99595de-42e4-4bdf-8893-cddfd4caf390 · outbound

This paper cites Multi-step continuous decision making and planning in uncertain dynamic scenarios through parallel spatio-temporal trajectory searching.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Multi-step continuous decision making and planning in uncertain dynamic scenarios through parallel spatio-temporal trajectory searching

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.580856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:1f8e94d2cb7abd251b3adabb7b38c68e5626acc70e2ecbc69c648606a2bd8f44

Observation 5dd53392-fc23-48da-8c49-710f9286eb1b · outbound

This paper cites Borrelli, A.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Borrelli, A

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.577546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:193f6d7530411dbb4edb071779bf3cf91affa004a1940f55bbde0f3201c5af0d

Observation 5102d68f-eff8-4d03-9c60-cc8f6aaec1cc · outbound

This paper cites Control barrier function based quadratic programs for safety critical systems.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Control barrier function based quadratic programs for safety critical systems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.589151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:721f110deeba68e727ca364daa4d3ba649f6dc4a08f81e5b6363b7711e1bec21

Observation 8789d2fb-ad5f-4c9a-b079-4eeb0ab1c67d · outbound

This paper cites Safety-critical traffic control by connected automated vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Safety-critical traffic control by connected automated vehicles

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.610918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:c21ba1405626d67209dab85379c138e6934ff2003942bb5a67dc93136b5608c3

Observation 86aa4582-d0cc-4b1d-b644-e335d0347a79 · outbound

This paper cites In- cremental Bayesian learning for fail-operational control in autonomous driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization In- cremental Bayesian learning for fail-operational control in autonomous driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.566030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:8f8dcec1e914144801d2898c076e834df40d0e8ca80ecd0bf603c83ef87a5f8a

Observation 389392ad-d99b-477a-9d4d-7e5b27ac236f · outbound

This paper cites Safety-critical model predictive control with discrete-time control barrier function.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Safety-critical model predictive control with discrete-time control barrier function

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.562387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:64c82ddcbde3733d97b40b8bb4dcaedb46a4109c404a65aa75a9cad4d9ef2ad4

Observation 7d0380a0-5d5f-4b4b-a9f8-8c01cfe82113 · outbound

This paper cites Safety-critical control for non-affine nonlinear systems with application on autonomous vehicle.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Safety-critical control for non-affine nonlinear systems with application on autonomous vehicle

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.558885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:cf8d73d0337f1cab0e927bffdb2e2f1305996f78dde52261f76576a1ab43d19b

Observation 48e35a57-910a-4dfa-a8d9-68d6093d9e59 · outbound

This paper cites Forward Invariance in Trajectory Spaces for Safety-critical Control.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Forward Invariance in Trajectory Spaces for Safety-critical Control

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.769817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:41e2645d1271226ccc1d23e137893db96a7482acc5cac4fc98521feadd2078be

Observation 869ac2a8-9f15-48e1-aa8f-8bf8e8d6fb89 · outbound

This paper cites A robust scenario MPC approach for uncertain multi-modal obstacles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization A robust scenario MPC approach for uncertain multi-modal obstacles

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.555288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:48c7553b19919fea7aae5be97af69847cec1dc89fbd406503e57a723a78a8140

Observation 598695d4-887e-440e-8e56-bd57cb2cf8f8 · outbound

This paper cites Interactive multi-modal motion planning with branch model predictive control.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Interactive multi-modal motion planning with branch model predictive control

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.547498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:64f8245108136e4dfccc5ad60af00cd2dec7c8255c4dc6b2d2776a6c903f463c

Observation 80838236-dd61-4223-8e85-7db89094538a · outbound

This paper cites POMDP motion planning algorithm based on multi-modal driving intention.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization POMDP motion planning algorithm based on multi-modal driving intention

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.543632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:091d7b8ca832589ecc69aca17e46908c8a2ee46a0bb21d51d83c7a975f402d4b

Observation adc6d8ad-bc55-4dcb-ab3e-d2d7caa30d33 · outbound

This paper cites Integrated decision making and planning framework for autonomous vehicle considering uncertain prediction of surrounding vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Integrated decision making and planning framework for autonomous vehicle considering uncertain prediction of surrounding vehicles

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.539522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:fc557afeecc39dfca8fc3c0335681bd89d5bfaef0d630ff8f424e89b693e19f5

Observation 0316f8b0-df73-404b-9daf-263219196a9f · outbound

This paper cites Planning in the continuous domain: A generalized belief space approach for autonomous naviga- tion in unknown environments.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Planning in the continuous domain: A generalized belief space approach for autonomous naviga- tion in unknown environments

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.547252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:dc3c568af0247cae4b280366565fec22e5e13414829379ad7c7f80694fc1828c

Observation 6c0bd4af-3405-4e22-9ac2-77b2be2eef4a · outbound

This paper cites MARC: Multipolicy and risk- aware contingency planning for autonomous driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization MARC: Multipolicy and risk- aware contingency planning for autonomous driving

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.530581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:749d89dcdca2984592eb7d440e82e7819c254a3f1fd7bfad03a8419e36a7f6d4

Observation 01c45ccf-6e78-45d8-a4f6-8d7f5a2bbd6d · outbound

This paper cites Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Real-time parallel trajectory optimization with spatiotemporal safety constraints for autonomous driving in congested traffic

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.525814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:7701f83877f0835f325d50f3cddc66150286d8c1c4d8e90009b9e2e6da222748

Observation 71d274dd-d7e8-4883-9bfd-6d02e43df1b5 · outbound

This paper cites Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.533454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:470cb256604de1373b66875cf3d99a68c56d2b7fd2eb287f2c03366404c9811e

Observation f238a3d0-4359-48df-aa1b-ff2cabece747 · outbound

This paper cites Improved consen- sus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Improved consen- sus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.520576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:bd3b1ff6af4b0eaf19616525df1505a40a9908cdecc95c584f5defaa1f4915c5

Observation 11bb35a2-7cda-4e4d-927a-238b0ae9adce · outbound

This paper cites Barrier-enhanced parallel homotopic trajectory optimization for safety-critical autonomous driv- ing.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Barrier-enhanced parallel homotopic trajectory optimization for safety-critical autonomous driv- ing

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.516994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:b0e08231f0f4e73488a432db653d33dd625bcce574f07835cabad7c70a234801

Observation 4bd65d37-bf45-48ed-bed1-3eac7192c20c · outbound

This paper cites Applications of a splitting algorithm to decomposition in convex programming and variational inequalities.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Applications of a splitting algorithm to decomposition in convex programming and variational inequalities

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.513952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:7a1932ebb136ca423c858adfb77668226ddaa288e223faf548a494ae6329292a

Observation 80cc943f-7ff9-46a5-87cb-b96f179cb469 · outbound

This paper cites Optimal parameter selection for the alternating direction method of multipliers (ADMM): Quadratic problems.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Optimal parameter selection for the alternating direction method of multipliers (ADMM): Quadratic problems

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.550324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:af1434788a981140fd2fc336294de1ec27721a98f02d940bd02081a882c1cb8f

Observation e076267d-6ca5-4b14-81bc-b3adbdb84df7 · outbound

This paper cites Contingency model predic- tive control for automated vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Contingency model predic- tive control for automated vehicles

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.507722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:dcd5d096fbbe2b9dd455848b9195a7974e50805de3e5e962ea4d198d74258bb4

Observation dbbfc37b-705f-4905-a594-9d728c0a5b94 · outbound

This paper cites Is anyone there? learning a planner contingent on perceptual uncertainty.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Is anyone there? learning a planner contingent on perceptual uncertainty

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.585299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:1247719d15d5aa7e887efb75a31f4c27b6758484130c3c1d60e0d1dc42a60336

Observation 9a6de010-7d2c-4feb-a30c-e681d365ea1c · outbound

This paper cites Control-Tree Optimization: an approach to MPC under discrete partial observability.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Control-Tree Optimization: an approach to MPC under discrete partial observability

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.579430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:e0af327df45f5f9319c672871f0c029cb0ec02ee932c2071d1ad72282a55f230

Observation 346f6c74-ed8f-43e1-b379-5ec547ae2b1a · outbound

This paper cites Interactive joint planning for autonomous vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Interactive joint planning for autonomous vehicles

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.497436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:94680c0409310e0c9b403bab80a45b74f78b5e8ca25a89f2f0a29714f2fb8330

Observation 5e1c248e-f031-48b8-89ef-e92892c10918 · outbound

This paper cites The Bernstein polynomial basis: A centennial retrospec- tive.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization The Bernstein polynomial basis: A centennial retrospec- tive

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.599788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:b49ff33d2d4ab718634f99c7bea6e5956891aa6d55c50d4febbc4ba2434d85df

Observation 02429183-87a6-467d-a159-ae4c4248056f · outbound

This paper cites Robust tunable trajectory repairing for autonomous vehicles using bernstein basis polynomials and path-speed decoupling.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Robust tunable trajectory repairing for autonomous vehicles using bernstein basis polynomials and path-speed decoupling

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.569575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:f372d27da6efaba13963a50442c5bdafe8f0b994b2b6a5af34bf606a26d1f826

Observation 1aeb8be9-6355-45a9-bc09-ddea1aff900b · outbound

This paper cites A novel trajectory optimization for affine systems: Beyond convex-concave procedure.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization A novel trajectory optimization for affine systems: Beyond convex-concave procedure

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.592406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:f88817a88a591b9e88a6360cac3ca7b5bcdc43ecf66d11d837de0c5296f03e29

Observation 2e24bf7a-6c3c-4d8c-850d-14ab55f31aeb · outbound

This paper cites Enhancing feasibility and safety of nonlinear model predictive control with discrete-time control barrier functions.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Enhancing feasibility and safety of nonlinear model predictive control with discrete-time control barrier functions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.596464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:cd2596cdadebef18a62560c998bc49a9345ededa4438168552aec20f7ed68b18

Observation 651b91e8-899e-42d6-b6fa-a446e045db0b · outbound

This paper cites On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone oper- ators.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization On the Douglas—Rachford splitting method and the proximal point algorithm for maximal monotone oper- ators

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.480122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:58e9983622ef2481e50990d329576f16a1b615fb1af96b3b984ea0434b9dc8f9

Observation 402b4ac4-6805-4ce9-b768-b555ed9fb3f5 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.603131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:3b705f58b38c7e64b84cf0bd2952a648c707135c1ced4d86623389365a7bda59

Observation f41ab9b6-e012-4b81-93ed-b4ff569ed341 · outbound

This paper cites Training neural networks without gradients: A scalable ADMM ap- proach.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Training neural networks without gradients: A scalable ADMM ap- proach

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.473707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:b40f0df248134d45998551efcafddcd5f3ff5625b02b85b9c70809fc77020941

Observation 83118bcb-630e-423c-ac47-dc0ec3de7586 · outbound

This paper cites Parallel alternating direction multiplier decomposition of convex programs.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Parallel alternating direction multiplier decomposition of convex programs

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.522486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:df3a8c50af04760e184d225b0c33b4d5326923b0bc7c9df27e051b5c43f374fd

Observation d64670db-1c18-4b5a-99c6-b6e45f7d5f54 · outbound

This paper cites Numeri- cally stable dynamic bicycle model for discrete-time control.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Numeri- cally stable dynamic bicycle model for discrete-time control

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.559928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:e8d68231b29df8af6bdc95b22f35cfe9b7077a13258a3fafc13e5475850c4d46

Observation 76d9f427-e72e-4ff4-b6b0-b2a43694067b · outbound

This paper cites A survey on motion prediction and risk assessment for intelligent vehicles.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization A survey on motion prediction and risk assessment for intelligent vehicles

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.462406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:47efb7189e9f3623d0e2c1087e26e9139012eadb1e86b397556fb59e868a0915

Observation d6700a40-840e-4154-929f-2dd97e8ae16d · outbound

This paper cites Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Reachability-Based Contingency Planning against Multi-Modal Predictions with Branch MPC

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:33:25.765062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:8acc5db600eb20560a8feff04b53308c8d2254510284879634adf89b46990377

Observation e14ebc6e-ced7-4601-a39f-3a10be66ce94 · outbound

This paper cites On integrating POMDP and scenario MPC for planning under uncertainty – with applications to highway driving.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization On integrating POMDP and scenario MPC for planning under uncertainty – with applications to highway driving

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.488178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:faea380079a5309169a1b799eb01450b298071e21036cc1c729559176a23159e

Observation e5174705-cba0-403c-911e-6b621da448a3 · outbound

This paper cites Efficient uncertainty-aware decision-making for automated driving using guided branching.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Efficient uncertainty-aware decision-making for automated driving using guided branching

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.454987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:a1dbf222eb2d77ea5cb922cd30f5b13f7be9ff7f8f87825223103759faa76954

Observation 42333614-04ee-48c1-88a0-ed3f5f1b6401 · outbound

This paper cites Occlusion-aware risk assessment and driving strategy for autonomous vehicles using simplified reachability quantification.

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization Occlusion-aware risk assessment and driving strategy for autonomous vehicles using simplified reachability quantification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T20:35:49.473276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:30:15.520002Z digest=sha256:e85ad6ec44c6e9e21b58a73342bba4128308c65ab5d87e5accf5dd9a02336cea

Pith citing papers

No inbound Pith citation observations are available.