Key applications: Navigation safety, obstacle avoidance, warehouse and fulfillment sensing

• Navigation safety and obstacle avoidance: Mobile platforms navigating shared spaces need reliable detection of humans and dynamic obstacles under all lighting conditions. Radar provides a perception layer that remains stable when camera-based systems degrade in dust, glare, or low-light warehouse environments.
• Transparent and specular obstacle detection: Glass walls, reflective floors, and clear packaging are invisible to cameras: glass transmits rather than reflecting light, and polished or mirrored surfaces deflect light away from the lens. Radar returns from the surface of any solid material regardless of optical transparency. These functions are critical for AMRs navigating retail, warehouse, and fulfillment environments where these surfaces are common.
• 3D scene mapping / slam assist: Radar augments lidar and stereo camera SLAM systems with velocity-annotated point clouds. Enables detection of moving obstacles that cameras and lidar miss and provides a cross-modal consistency check that improves localization robustness in dynamic scenes.
• Sensor fusion depth layer: Radar provides the velocity and range dimension that cameras lack. Combined with RGB or thermal imaging using an AI fusion pipeline, TI radar closes the modality gap for environments where any single sensor is insufficient. For an example using the IWR6243 mmWave radar sensor and a camera and deployed on NVIDIA's Holoscan platform, see Real-Time AI Raw Sensor Fusion with IWR6243 mmWave Radar and Camera on NVIDIA’s Holoscan Platform.