Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers | Paper Citation Record

Observation 6d5d4a46-4ffe-40dd-958a-8e0a7bfd1ac0 · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Milestones in autonomous driving and intelligent vehicles: Survey of surveys

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.639717Z

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.

Observation b3db947b-9baa-4f65-90e0-68fcf6c27b5f · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Barrier-enhanced parallel homotopic trajectory optimization for safety-critical autonomous driv- ing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.652246Z

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.

Observation 138aece2-a260-42a5-b942-72576c19ec8b · outbound

This paper cites Active exploration in iterative Gaussian process regression for uncertainty modeling in autonomous racing.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Active exploration in iterative Gaussian process regression for uncertainty modeling in autonomous racing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.648903Z

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.

Observation c3d762e2-178d-4631-9061-2bdd8b83b8ab · outbound

This paper cites RACP: Risk-aware contingency planning with multi-modal predictions.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers RACP: Risk-aware contingency planning with multi-modal predictions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.636125Z

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.

Observation 7d173624-11db-46bc-81f5-76c09aa1dfc8 · outbound

This paper cites Automated lane merging via game theory and branch model predictive control.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Automated lane merging via game theory and branch model predictive control

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.643095Z

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.

Observation 37a12f19-16a5-44d9-9d19-8ac17184eae2 · outbound

This paper cites Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.630758Z

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.

Observation 4ffd2a43-fc5f-4554-aff8-f37f29451823 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Spatiotemporal receding horizon control with proactive interaction towards autonomous driving in dense traffic

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.398558Z

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.

Observation 0f6c4bd2-ef41-4be2-9150-52c00b12afc9 · outbound

This paper cites Set-based prediction of traffic participants on arbitrary road networks.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Set-based prediction of traffic participants on arbitrary road networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.417539Z

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.

Observation 2961554b-2dc4-46b2-b67a-ea026843305e · outbound

This paper cites Proactive emergency collision avoidance for automated driving in highway scenarios.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Proactive emergency collision avoidance for automated driving in highway scenarios

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.424324Z

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.

Observation 24d75e07-a046-418c-afbe-7c2fcc0979ca · outbound

This paper cites Queues and artificial potential trenches for multirobot formations.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Queues and artificial potential trenches for multirobot formations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.453026Z

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.

Observation afd561a2-9b96-4eb9-8baf-f7a5767af167 · outbound

This paper cites Chance-constrained collision avoidance for mavs in dynamic environments.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Chance-constrained collision avoidance for mavs in dynamic environments

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.466915Z

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.

Observation 2b1ebaae-dd3a-42fb-bfd8-aba9eab8afd0 · outbound

This paper cites Predictive control for autonomous driving with uncertain, multimodal predictions.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Predictive control for autonomous driving with uncertain, multimodal predictions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.429882Z

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.

Observation 38884d4b-70b5-44c2-976e-28e796b4ef80 · outbound

This paper cites Scenario- based motion planning with bounded probability of collision.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Scenario- based motion planning with bounded probability of collision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.491230Z

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.

Observation a6c76550-abb1-4f8e-8ad2-f7608347d09e · outbound

This paper cites Stochastic model predictive control with a safety guarantee for automated driving.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Stochastic model predictive control with a safety guarantee for automated driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.441214Z

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.

Observation b3853345-b0df-49c5-9bf7-f13423dceea5 · outbound

This paper cites Recursively feasible chance-constrained model predictive control under gaussian mixture model uncertainty.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Recursively feasible chance-constrained model predictive control under gaussian mixture model uncertainty

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.463213Z

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.

Observation 10d3a5f5-046b-4205-947b-44b704bd78ec · outbound

This paper cites Non-gaussian chance- constrained trajectory planning for autonomous vehicles under agent uncertainty.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Non-gaussian chance- constrained trajectory planning for autonomous vehicles under agent uncertainty

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.548956Z

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.

Observation b63c1d33-07f6-425c-92df-20933c125e23 · outbound

This paper cites Scenario-based trajectory optimization in uncertain dynamic environ- ments.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Scenario-based trajectory optimization in uncertain dynamic environ- ments

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.619018Z

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.

Observation dab770ee-1535-4a99-a340-8da5efa68c6f · outbound

This paper cites Robust convex optimization.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Robust convex optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.420853Z

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.

Observation 3fe9fd32-e6b7-4e75-a6a2-c90f19bdd566 · outbound

This paper cites Safe motion planner for autonomous driving based on LPV MPC and reachability analysis.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safe motion planner for autonomous driving based on LPV MPC and reachability analysis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.406295Z

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.

Observation 1268d9bd-6669-40b9-9ff4-2c5e9c193eb8 · outbound

This paper cites Real-time robust receding horizon planning using Hamilton–Jacobi reachability analysis.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Real-time robust receding horizon planning using Hamilton–Jacobi reachability analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.564511Z

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.

Observation a1f2bde2-9454-49c7-acac-b5b142089879 · outbound

This paper cites Using reachable sets for trajec- tory planning of automated vehicles.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Using reachable sets for trajec- tory planning of automated vehicles

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.482873Z

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.

Observation 846f5c27-d889-4996-8e1b-8e138b0ff187 · outbound

This paper cites Set-based prediction of traffic participants considering occlusions and traffic rules.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Set-based prediction of traffic participants considering occlusions and traffic rules

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.600254Z

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.

Observation c8c6a2df-99df-4c09-9472-9e8f797b7bf7 · outbound

This paper cites Experimental valida- tion of safe MPC for autonomous driving in uncertain environments.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Experimental valida- tion of safe MPC for autonomous driving in uncertain environments

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.437495Z

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.

Observation dcefe399-18ee-4d7e-9b29-55b2f9954eb7 · outbound

This paper cites MPC with integrated evasive maneuvers for failure-safe automated driving.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers MPC with integrated evasive maneuvers for failure-safe automated driving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.409610Z

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.

Observation 4f5bd08c-b396-4d3a-b54a-b8aaf7e0cf1f · outbound

This paper cites Computationally efficient fail-safe trajectory planning for self-driving vehicles using convex optimization.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Computationally efficient fail-safe trajectory planning for self-driving vehicles using convex optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.402741Z

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.

Observation 3df50fa6-4e2f-412c-823c-157c1763ecab · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Fail-safe motion planning for online verification of autonomous vehicles using convex optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.389638Z

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.

Observation ad3e0568-3706-4b68-8b76-b82da660f192 · outbound

This paper cites Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:21:43.738359Z

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.

Observation e2b5fd4f-2268-41d1-8e83-07c28d0cc3b3 · outbound

This paper cites Trust-aware safe control for autonomous nav- igation: Estimation of system-to-human trust for trust-adaptive control barrier functions.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Trust-aware safe control for autonomous nav- igation: Estimation of system-to-human trust for trust-adaptive control barrier functions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.604295Z

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.

Observation a48d1786-0161-4e52-add7-50f4a6567248 · outbound

This paper cites Model predictive control with preview: Recursive feasibility and stability.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Model predictive control with preview: Recursive feasibility and stability

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.609225Z

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.

Observation 7d60bc03-9196-4d78-9454-71e49b081a8b · outbound

This paper cites Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.615068Z

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.

Observation 3024e414-981d-41a7-a6e3-f810696218f5 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safety-critical model predictive control with discrete-time control barrier function

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.622887Z

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.

Observation 0a1c3298-4c90-4805-972b-e724555d93e9 · outbound

This paper cites Robust control barrier–value functions for safety-critical control.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Robust control barrier–value functions for safety-critical control

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.433911Z

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.

Observation e5aa9284-8786-497b-ac64-6ae63b35e38f · outbound

This paper cites Fast, smooth, and safe: implicit control barrier functions through reach- avoid differential dynamic programming.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Fast, smooth, and safe: implicit control barrier functions through reach- avoid differential dynamic programming

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.586519Z

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.

Observation a6191c47-f7a6-4f96-9df1-87844a18d50e · outbound

This paper cites Safety-critical coordination of legged robots via layered controllers and forward reachable set based control barrier functions.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safety-critical coordination of legged robots via layered controllers and forward reachable set based control barrier functions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.590790Z

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.

Observation 2d9d1500-d417-41d7-9435-7b6760e745f3 · outbound

This paper cites Risk-aware optimal control for automated overtaking with safety guarantees.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Risk-aware optimal control for automated overtaking with safety guarantees

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.574506Z

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.

Observation 5ee1af76-1b06-47f7-a0f1-45d002116de9 · outbound

This paper cites Reachability-based confidence-aware probabilistic collision detection in highway driving.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Reachability-based confidence-aware probabilistic collision detection in highway driving

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.456310Z

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.

Observation 7e36785c-40d8-46f7-aff1-eaf4cf36ad0c · outbound

This paper cites A Hamilton-Jacobi reachability-based framework for predicting and analyzing human motion for safe planning.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers A Hamilton-Jacobi reachability-based framework for predicting and analyzing human motion for safe planning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.570196Z

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.

Observation d5d52d4d-762e-437c-9d29-11364d4fa8b4 · outbound

This paper cites Robust, informative human-in-the-loop predictions via empirical reachable sets.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Robust, informative human-in-the-loop predictions via empirical reachable sets

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.580104Z

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.

Observation db0442aa-8ff8-4402-a870-e8bb3c9f78fe · outbound

This paper cites Convex approximation of probabilistic reachable sets from small samples using self-supervised neural networks.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Convex approximation of probabilistic reachable sets from small samples using self-supervised neural networks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:21:43.743972Z

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.

Observation 3128de0a-85ff-4f94-be01-d78ce5239bb8 · outbound

This paper cites Estimating high probability reachable sets using Gaussian processes.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Estimating high probability reachable sets using Gaussian processes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.626680Z

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.

Observation 83d427e8-c2b0-4c4b-9b40-6b160c251530 · outbound

This paper cites Data-driven reachable set computation using adaptive gaussian process classification and monte carlo methods.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Data-driven reachable set computation using adaptive gaussian process classification and monte carlo methods

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.444720Z

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.

Observation 1df824af-bc23-4061-be7a-354cbf01679f · outbound

This paper cites Active learning for estimating reachable sets for systems with unknown dynamics.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Active learning for estimating reachable sets for systems with unknown dynamics

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.657878Z

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.

Observation 1b7355e9-a91b-43e0-9f70-c7968a3412a5 · outbound

This paper cites Robust predictive motion planning by learning obstacle uncertainty.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Robust predictive motion planning by learning obstacle uncertainty

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.554943Z

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.

Observation 72fde98b-0b61-4445-8d9a-00894bec0b5b · outbound

This paper cites Robust motion planning for autonomous vehicles based on environment and uncertainty-aware reachability prediction.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Robust motion planning for autonomous vehicles based on environment and uncertainty-aware reachability prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.539096Z

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.

Observation b1556684-9a41-4a37-b030-6a45e8ef58d1 · outbound

This paper cites Contingency planning over probabilistic obstacle predictions for autonomous road vehicles.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Contingency planning over probabilistic obstacle predictions for autonomous road vehicles

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.459790Z

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.

Observation e92f9d17-58ce-4449-81f3-567200ded4c4 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Interactive multi-modal motion planning with branch model predictive control

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.535489Z

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.

Observation 58f24036-41ca-4b0a-9db6-2e25dd004f83 · outbound

This paper cites A non-conservatively defensive strategy for urban autonomous driving.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers A non-conservatively defensive strategy for urban autonomous driving

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.447984Z

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.

Observation c583ccf6-e630-4f53-9e18-5673ae437d5b · outbound

This paper cites Invariant safe contingency model predictive control for intersection coordination of mixed traffic.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Invariant safe contingency model predictive control for intersection coordination of mixed traffic

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.560434Z

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.

Observation 88a3bcf5-8948-4a5d-8cad-ae8d758f1b91 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Alternat- ing direction method of multipliers for constrained iterative LQR in autonomous driving

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.502560Z

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.

Observation 04ddc369-5f5f-45e4-b722-a8f58cc3b75a · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Multi-modal model predictive control through batch non-holonomic trajectory optimization: Application to highway driving

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.505641Z

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.

Observation 555941ea-2e69-488f-a8ad-53f71c219016 · outbound

This paper cites Occlusion-aware contingency safety-critical planning for autonomous vehicles.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Occlusion-aware contingency safety-critical planning for autonomous vehicles

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:21:43.731563Z

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.

Observation 0f0a0b2b-5c6a-4f6b-a6cd-834148168e71 · outbound

This paper cites Interactive joint planning for autonomous vehicles.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Interactive joint planning for autonomous vehicles

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.499411Z

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.

Observation 14b03d5c-3e7d-44a2-a632-f04811c59cff · outbound

This paper cites an unresolved cited work.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-05-18T18:21:44.385856Z

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.

Observation 240c49db-5a85-4f58-82af-8065248d24ae · outbound

This paper cites On Khachiyan’s algorithm for the computation of minimum-volume enclosing ellipsoids.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers On Khachiyan’s algorithm for the computation of minimum-volume enclosing ellipsoids

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.394459Z

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.

Observation 2fda9c76-3d20-4bed-85fa-41be1d008d4e · outbound

This paper cites Safe model- based reinforcement learning with stability guarantees.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safe model- based reinforcement learning with stability guarantees

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.494444Z

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.

Observation c94f1cfb-d585-4b78-adb5-737ce707c919 · outbound

This paper cites Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.530745Z

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.

Observation bbc2f56a-5d9f-45f4-bb1d-f3ab690b10be · outbound

This paper cites Farin,Curves and Surfaces for CAGD: A Practical Guide, 5th ed.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Farin,Curves and Surfaces for CAGD: A Practical Guide, 5th ed

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.544144Z

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.

Observation cdf2cbf8-69ca-436d-bd3c-368435bc3fd1 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers A survey on trajectory-prediction methods for autonomous driving

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.596338Z

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.

Observation 1bd91ca5-55b8-47fe-b79a-0db447994887 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Training neural networks without gradients: A scalable ADMM ap- proach

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.487703Z

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.

Observation 0164e251-2270-4d30-af47-f23ab1ffbe99 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Optimal parameter selection for the alternating direction method of multipliers (ADMM): Quadratic problems

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.479710Z

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.

Observation 011883c4-016a-4879-8bbe-df171e3223b2 · outbound

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

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.413107Z

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.

Observation f8c83c1b-5bfc-447d-a91c-0b8c6184d17a · outbound

This paper cites ACADO toolkit – An open source framework for automatic control and dynamic optimization.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers ACADO toolkit – An open source framework for automatic control and dynamic optimization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.470690Z

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.

Observation 1282392f-e4ea-43a9-a781-95adcd847224 · outbound

This paper cites Safe and real- time consistent planning for autonomous vehicles in partially observed environments via parallel consensus optimization.

Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Safe and real- time consistent planning for autonomous vehicles in partially observed environments via parallel consensus optimization

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T18:21:44.476295Z

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.

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