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Radar simulations are crucial for developing and testing algorithms but hampered by lack of data and complex tools. SHENRON, a new open-source framework, tackles this by efficiently simulating high-quality radar data using just lidar and camera inputs, enabling rapid algorithm evaluation and optimization.

Pointillism is a technique of using muliple radars to tackle the limitation of a single radar system. We develop deep learning based solution that uses an enhanced point cloud from multiple radars to enable perception in harsh weather conditions.