Results 71 to 80 of about 2,064,870 (170)
CodedVO: Coded Visual Odometry [PDF]
Autonomous robots often rely on monocular cameras for odometry estimation and navigation. However, the scale ambiguity problem presents a critical barrier to effective monocular visual odometry. In this paper, we present CodedVO, a novel monocular visual
Rajyaguru, Naitri +4 more
core +1 more source
PVO: Panoptic Visual Odometry [PDF]
, 2023 We present PVO, a novel panoptic visual odometry framework to achieve more comprehensive modeling of the scene motion, geometry, and panoptic segmentation information. Our PVO models visual odometry (VO) and video panoptic segmentation (VPS) in a unified
Zhang, Guofeng +7 more
core +1 more source
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
CAAI Transactions on Intelligence Technology, Volume 11, Issue 4, Page 1161-1178, August 2026.ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
Long-range stereo visual odometry for extended altitude flight of unmanned aerial vehicles
, 2016 Free to read\ud \ud Visual Odometry is a key technology for robust and accurate navigation of unmanned aerial vehicles in a number of low altitude applications (
Warren, Michael +2 more
core +1 more source
Development of Stereo Visual Odometry Based on Photogrammetric Feature Optimization
Remote Sensing, 2019 One of the important image processing technologies is visual odometry (VO) technology. VO estimates platform motion through a sequence of images. VO is of interest in the virtual reality (VR) industry as well as the automobile industry because the ...
Sung-Joo Yoon, Taejung Kim
doaj +1 more source
Improved Point–Line Visual–Inertial Odometry System Using Helmert Variance Component Estimation
Remote Sensing, 2020 Mobile platform visual image sequence inevitably has large areas with various types of weak textures, which affect the acquisition of accurate pose in the subsequent platform moving process. The visual–inertial odometry (VIO) with point features and line
Bo Xu +3 more
doaj +1 more source
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Improved Omnidirectional Odometry for a View-Based Mapping Approach
Sensors, 2017 This work presents an improved visual odometry using omnidirectional images. The main purpose is to generate a reliable prior input which enhances the SLAM (Simultaneous Localization and Mapping) estimation tasks within the framework of navigation in ...
David Valiente +4 more
doaj +1 more source
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Visual odometry from single camera
, 2021 Visual odometry (VO) is the process of estimating the motion of an object, with the input information from visual sensors, e.g., different models of cameras, GPS, LiDAR, etc.
Gan, Linzan
core