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cs.CV2024
UniCal: Unified Neural Sensor Calibration
Ze Yang, George Chen, Haowei Zhang +5
Self-driving vehicles (SDVs) require accurate calibration of LiDARs and cameras to fuse sensor data accurately for autonomy. Traditional calibration methods typically leverage fidu…
cs.CV2024
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
Tim Brödermann, David Bruggemann, Christos Sakaridis +4
Achieving level-5 driving automation in autonomous vehicles necessitates a robust semantic visual perception system capable of parsing data from different sensors across diverse co…
cs.CV2023
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM
Erik Sandström, Kevin Ta, Luc Van Gool +1
We present an uncertainty learning framework for dense neural simultaneous localization and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM me…