Generating Critical Scenarios for Testing Automated Driving Systems | Paper Citation Record

Observation abf6291e-6219-4880-b6ea-76d45aa265bf · outbound

This paper cites Autonomous vehicle market size worldwide 2021-2030,.

Generating Critical Scenarios for Testing Automated Driving Systems Autonomous vehicle market size worldwide 2021-2030,

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:23:00.329853Z

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Observation 909e76d0-c33e-42d2-aa9d-43016d9e26ad · outbound

This paper cites Google sibling Waymo launches fully autonomous ride-hailing service,.

Generating Critical Scenarios for Testing Automated Driving Systems Google sibling Waymo launches fully autonomous ride-hailing service,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.320159Z

Source-reported events for the cited work

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Observation 60f1c6c0-e946-4f63-ab44-4142a0d3a584 · outbound

This paper cites 60,000 Drivers Now Have Tesla Full Self Driving (FSD) — What It Is & How To Get It (Part 1),.

Generating Critical Scenarios for Testing Automated Driving Systems 60,000 Drivers Now Have Tesla Full Self Driving (FSD) — What It Is & How To Get It (Part 1),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.298148Z

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Observation 54b9e1cf-b1be-433b-a081-7444f8f14bf9 · outbound

This paper cites Lgsvl simulator: A high fidelity simulator for autonomous driving,.

Generating Critical Scenarios for Testing Automated Driving Systems Lgsvl simulator: A high fidelity simulator for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.280385Z

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Observation 353edddc-4168-4cdb-9130-4b211f200a5a · outbound

This paper cites Carla: An open urban driving simulator,.

Generating Critical Scenarios for Testing Automated Driving Systems Carla: An open urban driving simulator,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T23:22:59.804634Z

Source-reported events for the cited work

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Observation 4b3689fa-d5df-4175-a4cd-b1950ae34b15 · outbound

This paper cites Mosat: finding safety violations of autonomous driving systems using multi-objective genetic algorithm,.

Generating Critical Scenarios for Testing Automated Driving Systems Mosat: finding safety violations of autonomous driving systems using multi-objective genetic algorithm,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.249200Z

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Observation 63fb9f55-6d43-4dbc-8112-1e1dc97b2e20 · outbound

This paper cites Av-fuzzer: Finding safety violations in autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Av-fuzzer: Finding safety violations in autonomous driving systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.232973Z

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Observation 9e0ec431-2901-492c-9edc-3c370304820b · outbound

This paper cites Learning configurations of operating environment of au- tonomous vehicles to maximize their collisions,.

Generating Critical Scenarios for Testing Automated Driving Systems Learning configurations of operating environment of au- tonomous vehicles to maximize their collisions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.208318Z

Source-reported events for the cited work

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Observation 8f70d847-db89-41f6-8b09-8c78c1635285 · outbound

This paper cites Diversity- guided search exploration for self-driving cars test genera- tion through frenet space encoding,.

Generating Critical Scenarios for Testing Automated Driving Systems Diversity- guided search exploration for self-driving cars test genera- tion through frenet space encoding,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.189194Z

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Observation e45d0ad5-3a69-451b-a3f2-f5bf822547d0 · outbound

This paper cites Auto- mated Driving Safety Evaluation Framework Ver 3.0,.

Generating Critical Scenarios for Testing Automated Driving Systems Auto- mated Driving Safety Evaluation Framework Ver 3.0,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.162029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40b673af-11b7-4344-bf62-d4a00eb6ee5d · outbound

This paper cites Generating critical scenarios for testing automated driving systems.

Generating Critical Scenarios for Testing Automated Driving Systems Generating critical scenarios for testing automated driving systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.130729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42f4954e-fcfc-4da1-b65a-9621a680b99d · outbound

This paper cites Generating avoidable collision scenarios for testing autonomous driving sys- tems,.

Generating Critical Scenarios for Testing Automated Driving Systems Generating avoidable collision scenarios for testing autonomous driving sys- tems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.107766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62dd2d69-ab22-4284-9e24-85f72c826baf · outbound

This paper cites Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review.

Generating Critical Scenarios for Testing Automated Driving Systems Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T23:22:59.844254Z

Source-reported events for the cited work

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Observation 1c6f854f-877e-4239-bec6-e2124efc70f9 · outbound

This paper cites Defining and substantiating the terms scene, situation, and sce- nario for automated driving,.

Generating Critical Scenarios for Testing Automated Driving Systems Defining and substantiating the terms scene, situation, and sce- nario for automated driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.088391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a140d82f-cae4-4600-b3b9-71655c5a206e · outbound

This paper cites A first look at the integration of machine learning models in complex autonomous driving systems: a case study on apollo,.

Generating Critical Scenarios for Testing Automated Driving Systems A first look at the integration of machine learning models in complex autonomous driving systems: a case study on apollo,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.069720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 287f9f7a-f931-4627-9e00-15197d45fff5 · outbound

This paper cites Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes,.

Generating Critical Scenarios for Testing Automated Driving Systems Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.047505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1c956ef-5626-449e-9d93-cb18f705321f · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

Generating Critical Scenarios for Testing Automated Driving Systems Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:22:59.863997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051f78c8-2857-4878-a854-50502e8c0c9e · outbound

This paper cites A theoretical analysis of deep q-learning,.

Generating Critical Scenarios for Testing Automated Driving Systems A theoretical analysis of deep q-learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:01.015296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 347f5d7d-d9ed-4d8a-aec8-5a8658770ade · outbound

This paper cites Weighted double q- learning,.

Generating Critical Scenarios for Testing Automated Driving Systems Weighted double q- learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.995897Z

Source-reported events for the cited work

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Observation baa5bcca-10ec-4b8c-9f2e-a1191dc6484b · outbound

This paper cites Human-level control through deep reinforcement learning,.

Generating Critical Scenarios for Testing Automated Driving Systems Human-level control through deep reinforcement learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T23:22:59.878187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913fd713-bbca-4875-8278-995d20b3ffcd · outbound

This paper cites Longitudinal collision avoidance and lateral stability adaptive control system based on mpc of autonomous vehicles,.

Generating Critical Scenarios for Testing Automated Driving Systems Longitudinal collision avoidance and lateral stability adaptive control system based on mpc of autonomous vehicles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.966079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51ea7355-c0fa-4d09-92b3-9fb368e26598 · outbound

This paper cites A survey on rear end collision avoidance system for automobiles,.

Generating Critical Scenarios for Testing Automated Driving Systems A survey on rear end collision avoidance system for automobiles,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.946734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4de7b272-1bd9-428b-bc26-1be821f9b76e · outbound

This paper cites Vehicle forward collision warning algorithm based on road friction,.

Generating Critical Scenarios for Testing Automated Driving Systems Vehicle forward collision warning algorithm based on road friction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.929757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22ef75a5-6204-4189-bc42-60566037c3d4 · outbound

This paper cites Heterogeneous traffic mixing regular and connected vehicles: Modeling and stabilization,.

Generating Critical Scenarios for Testing Automated Driving Systems Heterogeneous traffic mixing regular and connected vehicles: Modeling and stabilization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.913455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6642361-cfc2-4ddb-ab70-c9431aaee5ba · outbound

This paper cites Automotive lidar performance verification in fog and rain,.

Generating Critical Scenarios for Testing Automated Driving Systems Automotive lidar performance verification in fog and rain,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.895961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 732cf2db-d9f4-4323-b85f-a30d20fef0d2 · outbound

This paper cites Autonomous vehicle ultrasonic sensor vulnerability and impact assessment,.

Generating Critical Scenarios for Testing Automated Driving Systems Autonomous vehicle ultrasonic sensor vulnerability and impact assessment,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.877474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7fdf9ed-b1a3-4bac-a8b3-a70d20003a79 · outbound

This paper cites I can see the light: Attacks on autonomous vehicles using invisible lights,.

Generating Critical Scenarios for Testing Automated Driving Systems I can see the light: Attacks on autonomous vehicles using invisible lights,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.859340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3806a97a-35e9-4e99-a081-ef246a568b19 · outbound

This paper cites Adaptive square attack: Fooling autonomous cars with adversarial traffic signs,.

Generating Critical Scenarios for Testing Automated Driving Systems Adaptive square attack: Fooling autonomous cars with adversarial traffic signs,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.842273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b23f772f-28e6-43e2-84b7-e229308e6692 · outbound

This paper cites Targeting patterns of driving characteristics in testing autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Targeting patterns of driving characteristics in testing autonomous driving systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.825783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8197c6ec-dfbf-41ae-8513-0aa53c635324 · outbound

This paper cites An incremental ap- proach for understanding collision avoidance of an industrial path planner,.

Generating Critical Scenarios for Testing Automated Driving Systems An incremental ap- proach for understanding collision avoidance of an industrial path planner,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.809715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0e6840d-92ab-45a6-a598-5e5227de13a2 · outbound

This paper cites Parameter coverage for testing of autonomous driving systems 18 under uncertainty,.

Generating Critical Scenarios for Testing Automated Driving Systems Parameter coverage for testing of autonomous driving systems 18 under uncertainty,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.791741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 860dffd8-f32b-431b-910b-c137ecafc03a · outbound

This paper cites Automatically testing self- driving cars with search-based procedural content generation,.

Generating Critical Scenarios for Testing Automated Driving Systems Automatically testing self- driving cars with search-based procedural content generation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.773676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98dab726-cdcf-4c79-89d3-e33fdb864b66 · outbound

This paper cites Model-based exploration of the frontier of behaviours for deep learning system testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Model-based exploration of the frontier of behaviours for deep learning system testing,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.756335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5330766b-e951-4c30-8d1f-dc3854be1e3c · outbound

This paper cites Adaptive stress testing with reward augmentation for au- tonomous vehicle validatio,.

Generating Critical Scenarios for Testing Automated Driving Systems Adaptive stress testing with reward augmentation for au- tonomous vehicle validatio,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.739661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc3ac77e-cf9d-4823-a0ef-fafdb24eb4e0 · outbound

This paper cites Reality bites: Assessing the realism of driving scenarios with large language models,.

Generating Critical Scenarios for Testing Automated Driving Systems Reality bites: Assessing the realism of driving scenarios with large language models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.723287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba7b5335-295a-416d-8870-d2e9f8cb88e7 · outbound

This paper cites Diavio: Llm- empowered diagnosis of safety violations in ads simulation test- ing,.

Generating Critical Scenarios for Testing Automated Driving Systems Diavio: Llm- empowered diagnosis of safety violations in ads simulation test- ing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.706877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6db1e098-331c-4440-9bd7-573053a467a3 · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective,.

Generating Critical Scenarios for Testing Automated Driving Systems A survey on safety-critical driving scenario generation—a methodological perspective,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T23:22:59.957128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08425f57-1d64-470c-8c00-d38236862c79 · outbound

This paper cites A driver-vehicle model for ads scenario-based testing,.

Generating Critical Scenarios for Testing Automated Driving Systems A driver-vehicle model for ads scenario-based testing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.680617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c792991-c467-4c18-ba2b-dec0c3042cf2 · outbound

This paper cites How does simulation-based testing for self-driving cars match human perception?.

Generating Critical Scenarios for Testing Automated Driving Systems How does simulation-based testing for self-driving cars match human perception?

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.665368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c044961-9cfa-44cc-a2df-2339930dd913 · outbound

This paper cites Ac3r: automatically recon- structing car crashes from police reports,.

Generating Critical Scenarios for Testing Automated Driving Systems Ac3r: automatically recon- structing car crashes from police reports,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.649896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 381e1747-44ea-4cba-b265-9fb68c233744 · outbound

This paper cites Sctrans: Constructing a large public scenario dataset for simu- lation testing of autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Sctrans: Constructing a large public scenario dataset for simu- lation testing of autonomous driving systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.634472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d69020e5-1dc1-44d8-819e-136d76adf11e · outbound

This paper cites Sovar: Build generalizable scenarios from accident reports for autonomous driving testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Sovar: Build generalizable scenarios from accident reports for autonomous driving testing,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.617682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97fbaed7-f88c-441a-9ab9-53943d760bda · outbound

This paper cites Search-based selection and prioritization of test scenarios for autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Search-based selection and prioritization of test scenarios for autonomous driving systems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.602240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 443b65ce-5f07-43da-857f-044ddef8ace3 · outbound

This paper cites Model based generation of driving scenarios,.

Generating Critical Scenarios for Testing Automated Driving Systems Model based generation of driving scenarios,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.586612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d687e68b-b795-4f9b-940a-90e7a947e56a · outbound

This paper cites A survey on automated driving system testing: Landscapes and trends,.

Generating Critical Scenarios for Testing Automated Driving Systems A survey on automated driving system testing: Landscapes and trends,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.570905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44b7437d-64af-43e8-aac0-8e6b1e37981d · outbound

This paper cites Testing of autonomous driving systems: where are we and where should we go?.

Generating Critical Scenarios for Testing Automated Driving Systems Testing of autonomous driving systems: where are we and where should we go?

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.554091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31452402-4893-4b7f-ae0f-d15b134bfa92 · outbound

This paper cites Testing autonomous cars for feature interaction failures using many-objective search,.

Generating Critical Scenarios for Testing Automated Driving Systems Testing autonomous cars for feature interaction failures using many-objective search,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.536918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e11f45db-c90e-4a1d-88ba-b7deafca4557 · outbound

This paper cites Dirty road can attack: Security of deep learning based automated lane centering under {Physical-World} attack,.

Generating Critical Scenarios for Testing Automated Driving Systems Dirty road can attack: Security of deep learning based automated lane centering under {Physical-World} attack,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.519011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2841ff1-75e2-421c-85a7-b249631ffd28 · outbound

This paper cites Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling,.

Generating Critical Scenarios for Testing Automated Driving Systems Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.502159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2c22546-de9e-471a-aa5d-94e7aefd5549 · outbound

This paper cites Assess- ing the safety and reliability of autonomous vehicles from road testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Assess- ing the safety and reliability of autonomous vehicles from road testing,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.483025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3521ca7f-dfec-4dff-9b42-fb35e9267fc2 · outbound

This paper cites Hardware-in-the- loop simulation platform for autonomous vehicle aeb prototyping and validation,.

Generating Critical Scenarios for Testing Automated Driving Systems Hardware-in-the- loop simulation platform for autonomous vehicle aeb prototyping and validation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.462479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9249cc39-c888-4f1b-b66c-08ffaa6cc0a4 · outbound

This paper cites A real-time co-simulation framework for virtual test and validation on a high dynamic vehicle test bed,.

Generating Critical Scenarios for Testing Automated Driving Systems A real-time co-simulation framework for virtual test and validation on a high dynamic vehicle test bed,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.442288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4ea61742-dafe-4d0b-8aa7-549e775987f6 · outbound

This paper cites Critical scenario identification concept: the role of the scenario-in-the-loop approach in future automotive testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Critical scenario identification concept: the role of the scenario-in-the-loop approach in future automotive testing,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.424383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22955de7-30c2-4415-8edf-89a88f096c47 · outbound

This paper cites Black-box adversarial attacks in autonomous vehicle technology,.

Generating Critical Scenarios for Testing Automated Driving Systems Black-box adversarial attacks in autonomous vehicle technology,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.407207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9676948f-6cec-45eb-9507-7b8968db08fb · outbound

This paper cites Robust physical-world at- tacks on deep learning visual classification,.

Generating Critical Scenarios for Testing Automated Driving Systems Robust physical-world at- tacks on deep learning visual classification,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T23:23:00.071841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af5b60bb-5ba4-41ad-aa1b-f9d936001df5 · outbound

This paper cites Physical adversarial exam- ples for object detectors,.

Generating Critical Scenarios for Testing Automated Driving Systems Physical adversarial exam- ples for object detectors,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.379827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19b10363-c6cb-4bdb-996d-249ff5c53fe4 · outbound

This paper cites Chatgpt- based scenario engineer: A new framework on scenario generation for trajectory prediction,.

Generating Critical Scenarios for Testing Automated Driving Systems Chatgpt- based scenario engineer: A new framework on scenario generation for trajectory prediction,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.363210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03176c1e-ab55-4aed-9ef4-bc4ab952f2b0 · outbound

This paper cites Automotive lidar sensor development scenarios for harsh weather conditions,.

Generating Critical Scenarios for Testing Automated Driving Systems Automotive lidar sensor development scenarios for harsh weather conditions,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:23:00.347143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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