RGB-Based Visual–Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models [PDF]
SensorsAutonomous driving represents a transformative advancement with the potential to significantly impact daily mobility, including enabling independent vehicle operation for individuals with visual disabilities.
Jimin Song, Sang Jun Lee
doaj +2 more sources
LRPL-VIO: A Lightweight and Robust Visual–Inertial Odometry with Point and Line Features [PDF]
SensorsVisual-inertial odometry (VIO) algorithms, fusing various features such as points and lines, are able to improve their performance in challenging scenes while the running time severely increases.
Feixiang Zheng +4 more
doaj +2 more sources
F-LVINS: Flexible Lidar-Visual-Inertial Odometry Systems
IEEE Access, 2023 The development of a new system called Flexible Lidar-Visual-Inertial Odometry (F-LVINS) offers improved localization accuracy even in challenging environments.
Xiang-Shi Tang, Teng-Hu Cheng
doaj +1 more source
Multi-Sensor Fusion Self-Supervised Deep Odometry and Depth Estimation
Remote Sensing, 2022 This paper presents a new deep visual-inertial odometry and depth estimation framework for improving the accuracy of depth estimation and ego-motion from image sequences and inertial measurement unit (IMU) raw data.
Yingcai Wan +4 more
doaj +1 more source
INDOOR POSITIONING BY VISUAL-INERTIAL ODOMETRY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Indoor positioning is a fundamental requirement of many indoor location-based services and applications. In this paper, we explore the potential of low-cost and widely available visual and inertial sensors for indoor positioning.
M. Ramezani +3 more
doaj +1 more source
Monocular Visual Inertial Direct SLAM with Robust Scale Estimation for Ground Robots/Vehicles
Robotics, 2021 In this paper, we present a novel method for visual-inertial odometry for land vehicles. Our technique is robust to unintended, but unavoidable bumps, encountered when an off-road land vehicle traverses over potholes, speed-bumps or general change in ...
Bismaya Sahoo +2 more
doaj +1 more source
Finding Your Way Back: Comparing Path Odometry Algorithms for Assisted Return. [PDF]
, 2021 We present a comparative analysis of inertial-based odometry algorithms for the purpose of assisted return. An assisted return system facilitates backtracking of a path previously taken, and can be particularly useful for blind pedestrians.
Elyasi, Fatemeh +3 more
core +2 more sources
ROBUST VISUAL-INERTIAL ODOMETRY IN DYNAMIC ENVIRONMENTS USING SEMANTIC SEGMENTATION FOR FEATURE SELECTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Camera based navigation in dynamic environments with high content of moving objects is challenging. Keypoint-based localization methods need to reliably reject features that do not belong to the static background.
P. Irmisch, D. Baumbach, I. Ernst
doaj +1 more source
OL-SLAM: A Robust and Versatile System of Object Localization and SLAM
Sensors, 2023 This paper proposes a real-time, versatile Simultaneous Localization and Mapping (SLAM) and object localization system, which fuses measurements from LiDAR, camera, Inertial Measurement Unit (IMU), and Global Positioning System (GPS).
Chao Chen +6 more
doaj +1 more source
Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data [PDF]
, 2020 In this work, we propose a robust network-in-the-loop control system for autonomous navigation and landing of an Unmanned-Aerial-Vehicle (UAV). To estimate the UAV’s absolute pose, we develop a deep neural network (DNN) architecture for visual-inertial ...
bateux +11 more
core +1 more source