Results 31 to 40 of about 6,675 (223)
Visual Odometry Based Vehicle Lane-changing Detection [PDF]
, 2022 Lane-changing detection is necessary for accurate positioning, to allow vehicle navigation system to generate more specific path planning. Lane-changing detection method in this paper is more of a deterministic task, proposed based on curve analysis ...
Dayang Nur Salmi Dharmiza, Awang Salleh +2 more
core +2 more sources
Comparison of Three Off-the-Shelf Visual Odometry Systems
Robotics, 2020 Positioning is an essential aspect of robot navigation, and visual odometry an important technique for continuous updating the internal information about robot position, especially indoors without GPS (Global Positioning System). Visual odometry is using
Alexandre Alapetite +4 more
doaj +1 more source
Advances in Neural Information Processing Systems 36, 2023 We propose Deep Patch Visual Odometry (DPVO), a new deep learning system for monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture designed for tracking image patches across time. Recent approaches to VO have significantly improved the state-of-the-art accuracy by using deep networks to predict dense flow between video frames.
Zachary Teed +2 more
openaire +3 more sources
A Novel Visual SLAM Based on Multiple Deep Neural Networks
Applied Sciences, 2023 The current visual simultaneous localization and mapping (SLAM) systems require the use of matched feature point pairs to estimate camera pose and construct environmental maps.
Bihong Zhu +4 more
doaj +1 more source
Pseudo-LiDAR for Visual Odometry
IEEE Transactions on Instrumentation and Measurement, 2023 In the existing methods, LiDAR odometry shows superior performance, but visual odometry is still widely used for its price advantage. Conventionally, the task of visual odometry mainly rely on the input of continuous images. However, it is very complicated for the odometry network to learn the epipolar geometry information provided by the images.
Yanzi Miao +6 more
openaire +2 more sources
Event-Based Stereo Visual Odometry [PDF]
IEEE Transactions on Robotics, 2021 Event-based cameras are bio-inspired vision sensors whose pixels work independently from each other and respond asynchronously to brightness changes, with microsecond resolution. Their advantages make it possible to tackle challenging scenarios in robotics, such as high-speed and high dynamic range scenes. We present a solution to the problem of visual
Yi Zhou 0010 +2 more
openaire +3 more sources
Real-Time Vehicle Positioning and Mapping Using Graph Optimization
Sensors, 2021 In this work, we propose and evaluate a pose-graph optimization-based real-time multi-sensor fusion framework for vehicle positioning using low-cost automotive-grade sensors. Pose-graphs can model multiple absolute and relative vehicle positioning sensor
Anweshan Das +2 more
doaj +1 more source
Deep Visual Odometry With Adaptive Memory [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 accepted to TPAMI and an extension of CVPR oral paper: Beyond Tracking: Selecting Memeory and Refining Poses for Deep Visual Ododmetry.
Fei Xue +3 more
openaire +3 more sources
Objective speckle velocimetry for autonomous vehicle odometry [PDF]
, 2012 Speckle velocimetry is investigated as a means of determining odometry data with potential for application on autonomous robotic vehicles. The technique described here relies on the integration of translation measurements made by normalized cross ...
Charrett, Thomas O. H. +3 more
core +1 more source
Hybrid-Residual-Based RGBD Visual Odometry
IEEE Access, 2018 Visual odometry has greatly progressed since non-linear optimization methods were introduced for pose estimation. Furthermore, RGBD visual odometry has become a hot research topic in the robotic and computer vision field with the introduction of RGBD ...
Qinghua Yu +3 more
doaj +1 more source