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- W4387461235 endingPage "261" @default.
- W4387461235 startingPage "243" @default.
- W4387461235 abstract "In recent years, the development of Advanced Driver-Assistance Systems (ADASs) is driving the need for more reliable and precise on-vehicle sensing. Radar and lidar are crucial in this framework, since they allow sensing of vehicle’s surroundings. In such a scenario, it is necessary to master these sensing systems, and knowing their similarities and differences is important. Due to ADAS’s intrinsic real-time performance requirements, it is almost mandatory to be aware of the processing algorithms required by radar and lidar to understand what can be optimized and what actions can be taken to approach the real-time requirement. This review aims to present state-of-the-art radar and lidar technology, mainly focusing on modulation schemes and imaging systems, highlighting their weaknesses and strengths. Then, an overview of the sensor data processing algorithms is provided, with some considerations on what type of algorithms can be accelerated in hardware, pointing to some implementations from the literature. In conclusion, the basic concepts of sensor fusion are presented, and a comparison between radar and lidar is performed." @default.
- W4387461235 created "2023-10-10" @default.
- W4387461235 creator A5026016005 @default.
- W4387461235 creator A5074150684 @default.
- W4387461235 creator A5083703021 @default.
- W4387461235 date "2023-10-08" @default.
- W4387461235 modified "2023-10-11" @default.
- W4387461235 title "A Survey of Automotive Radar and Lidar Signal Processing and Architectures" @default.
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- W4387461235 doi "https://doi.org/10.3390/chips2040015" @default.