The proposed ego-motion estimation and mapping methods have been validated in extensive experiments ranging from car-mounted, hand-carried, to drone-attached ...
Abstract. In many real-world applications, ego-motion estimation and mapping must be conducted online. In the robotics world, especially, real-time motion ...
The real-time motion estimates are important for controlling and maneuvering autonomous vehicles, and the maps generated online are critical for obstacle ...
Fundamental idea is the fusion of the Lidar-based range and bearing measurements of landmarks with the information of various vehicle sensors by means of an ...
[PDF] Learning General Optical Flow Subspaces for Egomotion ...
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This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploit- ing probabilistic linear subspace ...
This example shows how to compensate point cloud distortion due to ego vehicle motion by fusing data from Global Positioning System (GPS) and inertial ...
Aug 31, 2024 · We present an egocentric-inertial human motion capture system that simultaneously estimates a dense map of the scene, runs in near real-time, and is fast and ...
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The key concept is to use the ego-motion estimation as a guide to evaluate the correctness of LiDAR-image correspondences, and in turn the hypothetic extrinsic ...
This paper presents a technique to estimate in real time the egomotion of a vehicle based solely on laser range data.
Apr 7, 2020 · We give a complete review of the state-of-the-art of SLAM research, focusing on solutions using vision, LiDAR, and a sensor fusion of both modalities.