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Environmental Perception for Intelligent Vehicles

  • Xiaoliang Tang
  • , Yuanxiang Li*
  • , Xian Wei
  • *此作品的通讯作者
  • Zhejiang University of Science and Technology
  • Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节章节同行评审

摘要

Environmental Perception for Intelligent Vehicles (EPIV) generally focuses on the awareness and understanding of the driving environment around intelligent vehicles by various vehicle sensors. In recent years, a lot of excellent research has been conducted on developing novel methods and technologies for EPIV. This chapter overviews some of the main research topics in the field of EPIV. First, this chapter reviews various types of vehicle sensors which capture multimodal environmental information around intelligent vehicles and form the foundation for environmental perception. Second, this chapter focuses on data restoration and denoising technologies on camera and LiDAR sensors, which guarantees the quality of the data captured by the vehicle. Third, this chapter deals with methods on semantic segmentation, object detection and tracking with camera and LiDAR data, which play a central role in environmental understanding. Fourth, this chapter introduces technologies on location and mapping with multimodal sensor data, which is essential for the local path planning of intelligent vehicles. Finally, this chapter discusses the research technologies on fusing multimodal environmental data, which represents the frontier of EPIV development.

源语言英语
主期刊名Lecture Notes in Intelligent Transportation and Infrastructure
出版商Springer Nature
61-106
页数46
DOI
出版状态已出版 - 2023

出版系列

姓名Lecture Notes in Intelligent Transportation and Infrastructure
Part F1376
ISSN(印刷版)2523-3440
ISSN(电子版)2523-3459

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