Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review
Yancheng Institute of Technology · Hong Kong University of Science and Technology · +3 more institutions
Abstract
With the rapid advancements of sensor technology and deep learning, autonomous driving systems are providing safe and efficient access to intelligent vehicles as well as intelligent transportation. Among these equipped sensors, the radar sensor plays a crucial role in providing robust perception information in diverse environmental conditions. This review focuses on exploring different radar data representations utilized in autonomous driving systems. Firstly, we introduce the capabilities and limitations of the radar sensor by examining the working principles of radar perception and signal processing of radar measurements. Then, we delve into the generation process of five radar representations, including the…
Citation impact
- FWCI
- 23.13
- Percentile
- 100%
- References
- 252
Authors
13Topics & keywords
- Radar
- Computer science
- Data science
- Artificial intelligence
- Remote sensing
- Geography
- Telecommunications