[go: up one dir, main page]

Xu et al., 2024 - Google Patents

Intermittent VIO-assisted LiDAR SLAM against degeneracy: Recognition and mitigation

Xu et al., 2024

Document ID
1766171717679129548
Author
Xu J
Li T
Wang H
Wang Z
Bai T
Hou X
Publication year
Publication venue
IEEE Transactions on Instrumentation and Measurement

External Links

Snippet

Light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM) is widely used in intelligent vehicles for environment perception, self-localization, and mapping. However, in specific environments such as long corridors, highways, or caves …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations

Similar Documents

Publication Publication Date Title
Yin et al. Dynam-SLAM: An accurate, robust stereo visual-inertial SLAM method in dynamic environments
US10275649B2 (en) Apparatus of recognizing position of mobile robot using direct tracking and method thereof
CN112785702A (en) SLAM method based on tight coupling of 2D laser radar and binocular camera
Li et al. RD-VIO: Robust visual-inertial odometry for mobile augmented reality in dynamic environments
Yap et al. A particle filter for monocular vision-aided odometry
Xu et al. Intermittent VIO-assisted LiDAR SLAM against degeneracy: Recognition and mitigation
Liu et al. A switching-coupled backend for simultaneous localization and dynamic object tracking
Baek et al. Curbscan: Curb detection and tracking using multi-sensor fusion
US20170108338A1 (en) Method for geolocating a carrier based on its environment
Jiang et al. 3D SLAM based on NDT matching and ground constraints for ground robots in complex environments
Wang et al. 3D-LIDAR based branch estimation and intersection location for autonomous vehicles
Yusefi et al. A generalizable D-VIO and its fusion with GNSS/IMU for improved autonomous vehicle localization
Pirahansiah et al. Simultaneous localization and mapping trends and humanoid robot linkages
Zhang et al. DP-VINS: Dynamics Adaptive Plane-Based Visual-Inertial SLAM for Autonomous Vehicles
Navon et al. A Robust Approach to Vision-Based Terrain-Aided Localization
Liao et al. A Real-Time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM
Zhou et al. A Factor Graph Optimization SLAM Mapping Method for Autonomous Vehicles Considering Dynamic Target Motion
Ross et al. Uncertainty estimation for stereo visual odometry
Chen et al. Uncertainty-aware adaptive semidirect LiDAR scan matching for ground vehicle positioning
Nawaf et al. Guided underwater survey using semi-global visual odometry
Wang et al. Localization with laser range finder in a metrically inconsistent map from monocular slam
Joswig et al. Monocular Metric 3D Dynamic Object Tracking with Temporal Depth Scaling
Bacca et al. Vertical edge‐based mapping using range‐augmented omnidirectional vision sensor
Xue et al. Sensor Fusion SLAM: An Efficient and Robust SLAM system for Dynamic Environments
Ding et al. Fusing Stereopsis & Corner Sparse Optical Flow for Real-time Obstacle Avoidance of Unmanned Aerial Vehicle