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Benjamin Stoler

4 accepted papers

2026

SEAL: Towards Safe Autonomous Driving Via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation

ICRA 2026poster

Verification and validation of autonomous driving (AD) systems and components is of increasing importance, as such technology increases in real-world prevalence. Safety-critical scenario generation is a key approach to robustify AD policies through closed-loop training. However, existing approaches …

2025

CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios Using Real-World Trajectories

ICRA 2025

Simulation is an indispensable tool in the development and testing of autonomous vehicles (AVs), offering an efficient and safe alternative to road testing. An outstanding challenge with simulation-based testing is the generation of safety-critical scenarios, which are essential to ensure that AVs c

Cited by 11SourceScholar
2025

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation

RA-L 2025

Verification and validation of autonomous driving (AD) systems and components is of increasing importance, as such technology increases in real-world prevalence. Safety-critical scenario generation is a key approach to robustify AD policies through closed-loop training. However, existing approaches

Cited by 10SourceScholar
2023

T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction

IROS 2023poster

Predicting pedestrian motion is essential for developing socially-aware robots that interact in a crowded environment. While the natural visual perspective for a social interaction setting is an egocentric view, the majority of existing work in trajectory prediction therein has been investigated pur…

Cited by 5SourcecodeScholar