This paper explores the adaptive challenges of detecting autonomous vehicles in complex road environments in China, analyzes its impact and potential risks on the development of autonomous driving technology-Based on this, an optimization scheme based on the VOLO algorithm is proposed. This scheme integrates frequency domain enhancement and dynamic sparsity techniques, enhancing the detection performance of vehicles in harsh weather and strengthening the robustness and adaptability of the system.