Guide to Design and Development of Radar Sensing Systems for Automotive Applications

Autonomous cars are no longer a distant dream. There are cars already plying on our streets with SAE level 2 and 3 capabilities. These cars are equipped with Advance Driver Assistance Systems which aide the drivers. These systems are sometimes active and sometimes passive in nature.

Most of the passive safety systems use Camera/ LiDAR/ Radar as sensors to assist the drivers.

Radar however is racing ahead in most ADAS applications thanks to its versatility and accuracy at an economical price.

Radar is used in various ADAS applications such as-

• Blind Spot Detection
• Park Assist
• Lane Change Assist
• Surround view
• Cross Traffic Alert
• Occupancy Detection
• Driver Health Monitoring

This whitepaper explains in brief various aspects of developing Radar based sensing systems for Automotive and other applications. From hardware development to supporting algorithms implementation.