Enhanced Lane Tracking Algorithm Using Ego-Motion Estimator for Fail-Safe Operation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2948971
Abstract: For automated driving technology to move beyond the proof stage and into actual automated driving, it is important to verify the safety of the automated driving system. In this paper, a method to ensure lateral… read more here.
Keywords: lane; motion estimator; automated driving; ego motion ... See more keywords
Unsupervised Learning of Monocular Depth and Ego-Motion in Outdoor/Indoor Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151629
Abstract: Visual-based unsupervised learning [1]–[3] has emerged as a promising approach in estimating monocular depth and ego-motion, avoiding intensive efforts on collecting and labeling the ground truth. However, they are still restrained by the brightness constancy… read more here.
Keywords: ego motion; monocular depth; depth ego; depth ... See more keywords
Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3137895
Abstract: A thermal camera can robustly capture thermal radiation images under harsh light conditions such as night scenes, tunnels, and disaster scenarios. However, despite this advantage, neither depth nor ego-motion estimation research for the thermal camera… read more here.
Keywords: ego motion; consistency loss; depth ego; consistency ... See more keywords
Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3140794
Abstract: The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans. However, given the complex scenarios and the low-resolution LiDAR, finding reliable structures for identifying correspondences can be challenging. In this… read more here.
Keywords: odometry; lidar odometry; self supervised; ego motion ... See more keywords
A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3162644
Abstract: Consistent motion estimation is fundamental for all mobile autonomous systems. While this sounds like an easy task, often, it is not the case because of changing environmental conditions affecting odometry obtained from vision, Lidar, or… read more here.
Keywords: motion estimation; motion; ego motion; credible robust ... See more keywords
Adversarial Learning for Joint Optimization of Depth and Ego-Motion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2968751
Abstract: In recent years, supervised deep learning methods have shown a great promise in dense depth estimation. However, massive high-quality training data are expensive and impractical to acquire. Alternatively, self-supervised learning-based depth estimators can learn the… read more here.
Keywords: optimization; depth ego; depth; ego motion ... See more keywords
Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3006467
Abstract: Disentangling the sources of visual motion in a dynamic scene during self-movement or ego motion is important for autonomous navigation and tracking. In the dynamic image segments of a video frame containing independently moving objects,… read more here.
Keywords: motion estimation; ego motion; object ego; dynamic scenes ... See more keywords
Vision-based dynamic target trajectory and ego-motion estimation using incremental light bundle adjustment
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Micro Air Vehicles"
DOI: 10.1177/1756829318756354
Abstract: This paper presents a vision-based, computationally efficient method for simultaneous robot motion estimation and dynamic target tracking while operating in GPS-denied unknown or uncertain environments. While numerous vision-based approaches are able to achieve simultaneous ego-motion… read more here.
Keywords: ego motion; motion; bundle adjustment; motion estimation ... See more keywords