Pang-Yuan Pao — accepted AI-conference papers

2025

Potential Fields as Scene Affordance for Behavior Change-Based Visual Risk Object Identification

Pang-Yuan Pao, Shu-Wei Lu, Ze-Yan Lu, Yi-Ting Chen

ICRA 2025

We study behavior change-based visual risk object identification (Visual-ROI), a critical framework designed to detect potential hazards for intelligent driving systems. Existing methods often show significant limitations in spatial accuracy and temporal consistency, stemming from an incomplete unde

Cited by 3 Source ↗Scholar ↗

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 ↗