Review on Vehicle Detection Technology for Unmanned Ground Vehicles

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 4; p. 1354
• Main Authors: Liu, Qi, Li, Zirui, Yuan, Shihua, Zhu, Yuzheng, Li, Xueyuan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 14.02.2021; MDPI AG
• Subjects: dataset; Review; sensor; simulation platform; unmanned ground vehicles; vehicle detection; vehicle detection; unmanned ground vehicles; sensor; simulation platform; dataset
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21041354

Unmanned ground vehicles (UGVs) have great potential in the application of both civilian and military fields, and have become the focus of research in many countries. Environmental perception technology is the foundation of UGVs, which is of great significance to achieve a safer and more efficient performance. This article firstly introduces commonly used sensors for vehicle detection, lists their application scenarios and compares the strengths and weakness of different sensors. Secondly, related works about one of the most important aspects of environmental perception technology-vehicle detection-are reviewed and compared in detail in terms of different sensors. Thirdly, several simulation platforms related to UGVs are presented for facilitating simulation testing of vehicle detection algorithms. In addition, some datasets about UGVs are summarized to achieve the verification of vehicle detection algorithms in practical application. Finally, promising research topics in the future study of vehicle detection technology for UGVs are discussed in detail.