3 papers
cs.CV2025
Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying
Jonathan Lyhs, Lars Hinneburg, Michael Fischer +4
Modern machine learning techniques have shown tremendous potential, especially for object detection on camera images. For this reason, they are also used to enable safety-critical…
cs.CV2023
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration
Jack Borer, Jeremy Tschirner, Florian Ölsner +1
Sensor fusion is vital for the safe and robust operation of autonomous vehicles. Accurate extrinsic sensor to sensor calibration is necessary to accurately fuse multiple sensor's d…
cs.CV2023
Continuous Online Extrinsic Calibration of Fisheye Camera and LiDAR
Jack Borer, Jeremy Tschirner, Florian Ölsner +1
Automated driving systems use multi-modal sensor suites to ensure the reliable, redundant and robust perception of the operating domain, for example camera and LiDAR. An accurate e…