Precise positioning and prediction system for autonomous driving based on generative artificial intelligence

Beichang Liu, Guoqing Cai, Zhipeng Ling, Jili Qian, Quan Zhang
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Abstract

Self-driving systems collect vast amounts of data through a variety of sensors, including cameras, lidar, millimeter-wave radar, and more. This data needs to be processed in real time to identify obstacles such as roads, vehicles, pedestrians and make decisions accordingly. Therefore, this paper discusses the importance of accurate positioning and prediction system in automatic driving technology, and analyzes the performance of various positioning technologies in automatic driving applications.In addition, the paper explores the application potential of AI technology in autonomous driving and the prospect of combining advanced positioning and prediction systems with generative AI. Overall, this study highlights the importance of algorithm performance improvement and artificial intelligence technology in the development of autonomous driving technology, and provides new ideas and directions for the innovation and development of intelligent transportation systems in the future.
基于生成式人工智能的自动驾驶精确定位和预测系统
自动驾驶系统通过各种传感器(包括摄像头、激光雷达、毫米波雷达等)收集大量数据。这些数据需要实时处理,以识别道路、车辆、行人等障碍物,并做出相应的决策。因此,本文讨论了自动驾驶技术中精确定位和预测系统的重要性,并分析了各种定位技术在自动驾驶应用中的性能。此外,本文还探讨了人工智能技术在自动驾驶中的应用潜力,以及将先进的定位和预测系统与生成式人工智能相结合的前景。总之,本研究强调了算法性能改进和人工智能技术在自动驾驶技术发展中的重要性,为未来智能交通系统的创新和发展提供了新的思路和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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