不同传感器在智能驾驶中的避障应用探究

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中图分类号：U463 文献标识码：A文章编号：1672-3791（2026）01-0080-04

Exploration of Obstacle Avoidance Applicationsof Different Sensors in Intelligent Driving

YAO Zipeng

South China University of Technology，Guangzhou， Guangdong Province， 51O641 China

Abstract： Due to growing demand forinteligent driving technology innew automotive industry，equipping intelligent vehicles with auxiliary obstacle avoidance functions is crucial to enhance the safety of inteligent driving.As a key component of inteligent driving obstacle avoidance applications，sensors exhibit a phenomenon of diverse types and varying quantities in theirapplication tosmartvehicles.Therefore，thisarticle mainlyexploresandanalyzes the application of mainstream sensors in intelligent driving vehicles.It is found that the function ofasingle sensor cannot always cover all detection blind spots，necesstating the integrationand coordinateduseof multiplesensors. Based on this，a sensor usage strategy is proposed that changes the weight of sensor data in deep learning fusion under diferent working environments.According to the varying performance of sensors in specific scenarios，the credibility of data collected by diferent sensors is adjusted，thereby improving the reliability of intelligent driving.

Keywords： Intelligent vehicle; Vehicle sensor; Intellgent driving; Obstacle avoidance technology

随着现代化社会的快速发展，新能源汽车产业呈现高质量发展和高科技渗透行业的趋势，人们对可靠的智能驾驶的需求也日益增加。（剩余5654字）