Autonomous driving system: A comprehensive survey

J Zhao, W Zhao, B Deng, Z Wang, F Zhang… - Expert Systems with …, 2024 - Elsevier
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 …

Lidar-based place recognition for autonomous driving: A survey

Y Zhang, P Shi, J Li - ACM Computing Surveys, 2024 - dl.acm.org
LiDAR has gained popularity in autonomous driving due to advantages like long
measurement distance, rich three-dimensional information, and stability in harsh …

L3-net: Towards learning based lidar localization for autonomous driving

W Lu, Y Zhou, G Wan, S Hou… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
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 …

Segmatch: Segment based place recognition in 3d point clouds

R Dubé, D Dugas, E Stumm, J Nieto… - … on robotics and …, 2017 - ieeexplore.ieee.org
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 …

SegMap: Segment-based map** and localization using data-driven descriptors

R Dube, A Cramariuc, D Dugas… - … Journal of Robotics …, 2020 - journals.sagepub.com
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 …

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 …