基于电子信息融合的汽车自动驾驶路径规划研究  

Research on Autonomous Driving Path Planning of Automobiles based on Electronic Information Fusion

作　　者：杨硕 赵旭政 Yang Shuo;Zhao Xuzheng

机构地区：[1]无锡工艺职业技术学院,江苏无锡214200

出　　处：《时代汽车》2024年第23期17-19,共3页Auto Time

摘　　要：随着智能化和自动化技术的不断发展,电子信息融合技术已成为汽车自动驾驶系统实现高效路径规划的核心支撑手段。本文聚焦基于电子信息融合的汽车自动驾驶路径规划,概述电子信息融合技术的基本原理及其在路径规划中的重要性,阐述全局与局部路径规划理论及其智能化提升方法。在此基础上,深入探讨路径规划算法的优化设计,包括信息采集与处理、路径平滑处理、动态路径调整、实时优化机制和成本函数设计,旨在提高系统的鲁棒性、适应性和安全性。研究表明,基于电子信息融合的路径规划在复杂交通环境中具备显著优势,能够为自动驾驶系统提供高精度的环境感知和动态路径调整支持,本文总结了该技术在自动驾驶中的应用价值和未来发展方向。With the continuous development of intelligent and automation technology,electronic information fusion technology has become the core support means for the efficient path planning of the automotive autonomous driving system.This paper focuses on the path planning of autonomous driving based on electronic information fusion,summarizes the basic principles of electronic information fusion technology and its importance in path planning,and expounds the theory of global and local path planning and its intelligent improvement methods.On this basis,the optimization design of path planning algorithms is discussed in depth,including information collection and processing,path smoothing processing,dynamic path adjustment,real-time optimization mechanism and cost function design,aiming to improve the robustness,adaptability and security of the system.The results show that path planning based on electronic information fusion has significant advantages in complex traffic environment,and can provide high-precision environment perception and dynamic path adjustment support for autonomous driving systems.

关 键 词：电子信息融合 自动驾驶 路径规划 深度学习 动态调整 成本函数 

分 类 号：F42[经济管理—产业经济]