The development of various fields of computer is constantly improving people’s lives. In recent years, the most obvious is the development of Artificial Intelligence (AI). Computer vision is applied to face recognition, natural language processing is applied to speech recognition, and machine learning is applied to data. Analysis and other typical application scenarios (He et al., 2019; Hosny et al., 2018; Yu et al., 2018 [1,2,3]). As the software part of robotics technology, artificial intelligence has become more and more mature. Recent research on robotics technology mainly centers on drones and assembly robots in intelligent manufacturing (Zhong et al., 2017; Egger and Masood, 2020; Chen, 2020 [4,5,6]). In addition to the above application scenarios, unmanned driving as the most important part of intelligent transportation is also a product of the combination of artificial intelligence and robots. In recent years, both academic and industrial aspects have conducted in-depth and extensive research on unmanned driving (Chen et al., 2019; Zhao et al., 2019 [7,8]). Moreover, with the gradual commercial use of the fifth-generation mobile communication technology (5G), theoretical research on the sixth-generation mobile communication technology (6G) has also begun. Stronger mobile communication technology will make the information transmission in the intelligent transportation system more stable. It also improves the reliability of Intelligent Transportation Systems (ITS), which is the most important property. We believe that 5G/6G and artificial intelligence will be the two core technologies of the future intelligent transportation system, and these two fields will also receive extensive attention, which is very likely to produce breakthrough research results, so this paper The purpose is to summarize the current development of these two fields, and summarize the cross-research progress between them, and then discuss the bottleneck of the current development of intelligent transportation system and point out the future research direction.

计算机各个领域的发展正在不断改善人们的生活。近年来，最为明显的就是人工智能（AI）的发展。计算机视觉应用于人脸识别，自然语言处理应用于语音识别，机器学习应用于数据。分析等典型应用场景（He et al., 2019; Hosny et al., 2018; Yu et al., 2018 [1,2,3]）。作为机器人技术的软件部分，人工智能已经越来越成熟。最近对机器人技术的研究主要集中在智能制造中的无人机和装配机器人（Zhong et al., 2017; Egger and Masood, 2020; Chen, 2020 [4,5,6]）。除了以上应用场景，无人驾驶作为智能交通最重要的组成部分，也是人工智能与机器人结合的产物。近年来，学术界和产业界都对无人驾驶进行了深入而广泛的研究（Chen et al., 2019; Zhao et al., 2019 [7,8]）。而且，随着第五代移动通信技术（5G）的逐步商用，第六代移动通信技术（6G）的理论研究也开始了。更强的移动通信技术将使智能交通系统中的信息传输更加稳定。它还提高了智能交通系统 (ITS) 的可靠性，这是最重要的特性。