Ensuring pedestrian safety is paramount in the advancement of autonomous vehicles (AVs), especially in intricate urban landscapes. This paper introduces a novel collision risk assessment algorithm tailored to prioritize collision risks based on diverse pedestrian characteristics. Through predictive analytics and risk prioritization strategies, the algorithm proactively identifies and mitigates potential collision scenarios, thereby bolstering pedestrian safety within urban traffic environments. Experimental validation demonstrates notable reductions in collision rates across various pedestrian groups. Results underscore the algorithm's efficacy in preemptively addressing collision risks, paving the way for safer interactions between AVs and pedestrians.
Tài liệu tham khảo
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