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09/18/2023
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration
Camera-LiDAR extrinsic calibration is a critical task for multi-sensor f...
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02/28/2023
Learning to Estimate Two Dense Depths from LiDAR and Event Data
Event cameras do not produce images, but rather a continuous flow of eve...
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12/12/2022
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
Recently, we have been witnesses of accidents involving autonomous vehic...
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12/20/2021
Real-Time Optical Flow for Vehicular Perception with Low- and High-Resolution Event Cameras
Event cameras capture changes of illumination in the observed scene rath...
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10/12/2021
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Point cloud segmentation is the foundation of 3D environmental perceptio...
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07/15/2021
Efficient Möbius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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07/13/2021
Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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02/05/2021
Fusion of neural networks, for LIDAR-based evidential road mapping
LIDAR sensors are usually used to provide autonomous vehicles with 3D re...
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11/12/2020
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, of...
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02/05/2018