• Traditional obstacle avoidance is expensive with constrained solutions
• Spinning LiDAR is relatively expensive, needs line of sight
• Solid State LiDAR sensors are also relatively expensive, and need line of sight
• Good Time-of-Flight sensors are very costly, and have a small field of view
• Multiple cameras provide good depth performance, but fail with poor light, dust, or smoke

To demonstrate collision detection and obstacle avoidance with an unmanned vehicle using new, low-cost Texas Instruments mmWave RADAR sensors

• Indoor Navigation + Obstacle Avoidance

• Widespread Application

- Surveillance

- Search and rescue in dangerous environments

- Warehouse monitoring and maintenance

- Indoor photography and video

• Aion Robotics Rover

• NVIDIA Jetson Nano

• mmWave Radar Sensor

• Slamtec RPLiDAR Sensor

• XBox RC Controller

• External Computer

• Pixhawk 2.1

• WiFi

• GPS