Aug. 11, 2023, 6:51 a.m. | Patrick Palmer, Martin Krueger, Richard Altendorfer, Ganesh Adam, Torsten Bertram

cs.CV updates on arXiv.org arxiv.org

Recent developments and the beginning market introduction of high-resolution
imaging 4D (3+1D) radar sensors have initialized deep learning-based radar
perception research. We investigate deep learning-based models operating on
radar point clouds for 3D object detection. 3D object detection on lidar point
cloud data is a mature area of 3D vision. Many different architectures have
been proposed, each with strengths and weaknesses. Due to similarities between
3D lidar point clouds and 3+1D radar point clouds, those existing 3D object
detectors are …

3d object detection arxiv cloud cloud data context data deep learning detection imaging introduction lidar perception radar research sensors

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Data Tools - Full Stack

@ DoorDash | Pune, India

Senior Data Analyst

@ Artsy | New York City