An overview of RADAR technology used in ADAS and design tradeoffs.
RADAR, LiDAR and vision systems play a critical role in enabling advanced driver-assistance systems (ADAS) and autonomous driving (AD). The automotive ADAS markets are forecast to grow at high rates in the upcoming years, with increasing requirements and system implementation complexity. This paper provides an overview of RADAR technology as used in ADAS applications, including a summary of the relevant signal processing, typical computation requirements, and design parameters. This paper also considers approaches to estimating computational complexity and processing resource requirements and addresses some other system design tradeoffs.
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