Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar

no code implementations • 7 May 2024 • David Borts, Erich Liang, Tim Brödermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Bruggemann, Christos Sakaridis, Luc van Gool, Mario Bijelic, Felix Heide

Neural fields have been broadly investigated as scene representations for the reproduction and novel generation of diverse outdoor scenes, including those autonomous vehicles and robots must handle.

Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues

no code implementations • CVPR 2023 • Stefanie Walz, Mario Bijelic, Andrea Ramazzina, Amanpreet Walia, Fahim Mannan, Felix Heide

We propose Gated Stereo, a high-resolution and long-range depth estimation technique that operates on active gated stereo images.

Depth Estimation Depth Prediction

ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering

no code implementations • ICCV 2023 • Andrea Ramazzina, Mario Bijelic, Stefanie Walz, Alessandro Sanvito, Dominik Scheuble, Felix Heide

With data as bottleneck and most of today's training data relying on good weather conditions with inclement weather as outlier, we rely on an inverse rendering approach to reconstruct the scene content.

Autonomous Vehicles Inverse Rendering +1