复杂环境下基于VOLO算法的车辆检测适应性研究

中图分类号：U469.79 文献标识码：A 文章编号：1003-8639（2025）10-0018-03

【Abstract】This paper explores the adaptive challnges of detecting autonomous vehicles in complex road environments in China，analyzes its impactand potential riskson the development of autonomous driving technology. Basedonthis，anoptimizationscheme basedonthe VOLO algorithm is proposed.This scheme integrates frequencydomain enhancementand dynamic sparsity techniques，enhancing the detection performance of vehicles in harsh weather and strengthening the robustness and adaptability of the system.

【Key words 】 autonomous driving technology; complex environment; cross-modal fusion; VOLO algorithn

0 引言

智能驾驶是未来城市交通发展的必然趋势，而驾驶安全是人们关注的首要问题。（剩余5185字）