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pro vyhledávání: '"Cocheteux, Mathieu"'
Despite the increasing interest in enhancing perception systems for autonomous vehicles, the online calibration between event cameras and LiDAR - two sensors pivotal in capturing comprehensive environmental information - remains unexplored. We introd
Externí odkaz:
http://arxiv.org/abs/2405.18021
Publikováno v:
BMVC 2023: 829-831
Camera-LiDAR extrinsic calibration is a critical task for multi-sensor fusion in autonomous systems, such as self-driving vehicles and mobile robots. Traditional techniques often require manual intervention or specific environments, making them labou
Externí odkaz:
http://arxiv.org/abs/2309.09855
We introduce a novel architecture, UniCal, for Camera-to-LiDAR (C2L) extrinsic calibration which leverages self-attention mechanisms through a Transformer-based backbone network to infer the 6-degree of freedom (DoF) relative transformation between t
Externí odkaz:
http://arxiv.org/abs/2304.09715