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Autonomous driving system: A comprehensive survey
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
Lidar-based place recognition for autonomous driving: A survey
LiDAR has gained popularity in autonomous driving due to advantages like long
measurement distance, rich three-dimensional information, and stability in harsh …
measurement distance, rich three-dimensional information, and stability in harsh …
L3-net: Towards learning based lidar localization for autonomous driving
We present L3-Net-a novel learning-based LiDAR localization system that achieves
centimeter-level localization accuracy, comparable to prior state-of-the-art systems with …
centimeter-level localization accuracy, comparable to prior state-of-the-art systems with …
Segmatch: Segment based place recognition in 3d point clouds
Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
adapting image-based solutions. Methods based on local features suffer from ambiguity and …
SegMap: Segment-based map** and localization using data-driven descriptors
Precisely estimating a robot's pose in a prior, global map is a fundamental capability for
mobile robotics, eg, autonomous driving or exploration in disaster zones. This task, however …
mobile robotics, eg, autonomous driving or exploration in disaster zones. This task, however …
SegMap: 3D segment map** using data-driven descriptors
R Dubé, A Cramariuc, D Dugas, J Nieto… - ar**, working at the level of structure can be
advantageous in terms of robustness to environmental changes and differences in …
advantageous in terms of robustness to environmental changes and differences in …