Robust and real-time outdoor localization only with a single 2-D LiDAR

L Wang, Z Liu, H Li - IEEE sensors journal, 2022 - ieeexplore.ieee.org
Robust and real-time localization is an essential issue for autonomous driving. As a high-
precision sensor, light detection and ranging (LiDAR) is widely used in autonomous driving …

An LSTM network for real-time odometry estimation

M Valente, C Joly… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
The use of 2D laser scanners is attractive for the autonomous driving industry because of its
accuracy, light-weight and low-cost. However, since only a 2D slice of the surrounding …

Customizable inverse sensor model for Bayesian and dempster-shafer occupancy grid frameworks

J Porębski - Advanced, Contemporary Control: Proceedings of KKA …, 2020 - Springer
Occupancy grid map** is an important component in a road scene understanding for
autonomous driving. It can encapsulate data from heterogeneous sensor sources like …

[PDF][PDF] Occupancy Grid Environmental Modeling for Automotive Applications

J Porebski - AGH University of Science And Technology, Krakow, 2022 - researchgate.net
Reliable vehicle environmental modeling is a fundamental prerequisite for advanced driver
assistance and autonomous driving systems. A commonly used representation of …

FVL-OutLoc: Fusion of Vision and 2D LiDAR for Accurate Outdoor Localization

Z Liu, H Li, L Wang - 2021 China Automation Congress (CAC), 2021 - ieeexplore.ieee.org
Precise localization is an essential issue for autonomous driving systems. 2D LiDAR has
been widely used in various indoor localization systems because of its accuracy in …