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cs.CV2026
NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals
Chieh-Chi Yang, Yu-Hsiang Chen, Yi-Ting Chen
Natural-language instructions promise controllable end-to-end driving, but their benefit can be hidden when planners already receive reliable high-level commands. We propose NudgeV…
cs.CV2023
RiskBench: A Scenario-based Benchmark for Risk Identification
Chi-Hsi Kung, Chieh-Chi Yang, Pang-Yuan Pao +4
Intelligent driving systems aim to achieve a zero-collision mobility experience, requiring interdisciplinary efforts to enhance safety performance. This work focuses on risk identi…