Single Chip

Single-chip radar technology is rapidly advancing, driven by the need for compact, cost-effective, and robust sensing in challenging environments. Current research focuses on improving the resolution and accuracy of radar data through novel signal processing techniques and machine learning models, such as neural networks trained on paired radar and lidar data, to generate high-resolution point clouds and enable applications like object detection and place recognition. These advancements are significantly impacting robotics, autonomous navigation, and human-machine interaction by providing reliable sensing capabilities in conditions where traditional vision systems fail.