Related Experiment Video
Updated: Feb 22, 2026

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
Published on: February 9, 2024
A Robust Vehicle Localization Approach Based on GNSS/IMU/DMI/LiDAR Sensor Fusion for Autonomous Vehicles
Xiaoli Meng1, Heng Wang2, Bingbing Liu3
1Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore. xiaoli.meng09@gmail.com.
Abstract:
Precise and robust localization in a large-scale outdoor environment is essential for an autonomous vehicle. In order to improve the performance of the fusion of GNSS (Global Navigation Satellite System)/IMU (Inertial Measurement Unit)/DMI (Distance-Measuring Instruments), a multi-constraint fault detection approach is proposed to smooth the vehicle locations in spite of GNSS jumps. Furthermore, the lateral localization error is compensated by the point cloud-based lateral localization method proposed in this paper. Experiment results have verified the algorithms proposed in this paper, which shows that the algorithms proposed in this paper are capable of providing precise and robust vehicle localization.
Related Concept Videos
Types of Global Positioning System Surveys
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Field Application of Global Positioning System
Introduction to Global Positioning System
Errors in Global Positioning System
Electronic Distance Measuring Instruments
