SLAM is a widely used technology in vehicle localization and mapping. Applying SLAM to large scenes involves calculating the relative pose relationship between the camera coordinate system, the world coordinate system, and the image coordinate system.
Aug 4, 2023
This paper describes a high-precision, scan-matching-based approach to tracking the pose of mobile vehicle, in which 3D information is added to the MCL ...
As being the foundation in 3D modeling, vehicle navigation and robot localization system, vehicle localization technique is broadly discussed in the fields.
Oct 16, 2006 · This paper describes a high-precision, scanmatching- based approach to tracking the pose of mobile vehicle, in which 3D information is added ...
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This paper presents an approach for vehicle 3D localization in outdoor woodland environments using a loosely coupled multisensor system. The vehicle 3D dead ...
A new 3D localization and mapping technique with terrain inclination assistance is proposed in this paper to allow a robot to identify its location and ...
ABSTRACT: Precise and robust localization is a significant task for autonomous vehicles in complex scenarios. In this paper, a novel method is proposed to ...
Missing: Terrains. | Show results with:Terrains.
6: 3D visualization of TerrainNet-TA prediction on a high-speed on-trail sequence. The green arrow indicates the vehicle's heading. The Min Ground Elevation map ...
This approach is known as simultaneous localization and mapping (SLAM). In this review paper, we have analyzed over 100 papers, and present a comprehensive ...
Oct 20, 2022 · It constructs a 3D dense mesh representation to build a complex function for enhancing the 3D localization predictions. In the paper ref ...