Pin-Lun Chen — accepted AI-conference papers

2026

Controllable Collision Scenario Generation Via Collision Pattern Prediction

Pin-Lun Chen, Chi-Hsi Kung, Che-Han Chang, Wei-Chen Chiu, Yi-Ting Chen

ICRA 2026poster

Evaluating the safety of autonomous vehicles (AVs) requires diverse, safety-critical scenarios, with collisions being especially important yet rare and unsafe to collect in the real world. Therefore, the community has been focusing on generating safety-critical scenarios in simulation. However, cont…

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2024

RiskBench: A Scenario-based Benchmark for Risk Identification

Chi-Hsi Kung, Chieh-Chi Yang, Pang-Yuan Pao, Shu-Wei Lu, Pin-Lun Chen, Hsin-Cheng Lu +1

ICRA 2024poster

Intelligent driving systems aim to achieve a zero-collision mobility experience, requiring interdisciplinary efforts to enhance safety performance. This work focuses on risk identification, the process of identifying and analyzing risks stemming from dynamic traffic participants and unexpected event…

Cited by 5 Source ↗code ↗Scholar ↗