面向智能网联汽车的BEV感知技术与发展趋势探究

中图分类号：U469.72 文献标识码：A 文章编号:1003-8639（2026）03-0073-03

Research on BEV Perception Technology and Development Trend forIntelligent Connected Vehicles

Zhao Leilei,FanWei (Xuchang Electrical Vocational College,Xuchang 461ooo, China）

【Abstract】 This paper investigates BEV perception technology for intelligent connected vehicles and its development trends.By constructing bird's-eye view mapsof the vehicle's surroundings and integrating multi-modal sensor data,BEV perception technology provides essential environmental information forautonomous driving.The study analyzes keytechnologies including multi-sensor fusion architectures,perspective transformation and depth estimation, as wellas temporal fusion and dynamic scene understanding.It also explores emerging trendssuch as high-precision 3D reconstruction,multi-vehiclecollaborative perceptionand "vehicle-road-cloud integration",aswellaslghtweightmodels and edge computing co-optimization.

【Key words】intelligent connected vehicles；BEV perception technology；development trends

0 引言

在智能网联汽车技术快速发展的过程中，环境感知技术成为自动驾驶系统的核心。（剩余4780字）