Learning Kalman Network: A deep monocular visual odometry for on-road driving-Reference-Cited by-同舟云学术

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Learning Kalman Network: A deep monocular visual odometry for on-road driving

Published:2019-11 Issue: Volume:121 Page:103234
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Zhao Cheng,Sun Li,Yan Zhi,Neumann Gerhard,Duckett Tom,Stolkin Rustam

Funder

DISTINCTIVE scholarship, UK

EU H2020 projects ILIAD

RoMaNS

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference46 articles.

1. Past, present, and future of simultaneous localization and mapping: towards the robust-perception age;Cadena;IEEE Trans. Robot.,2016

2. Vehicle trajectory prediction by integrating physics-and maneuver-based approaches using interactive multiple models;Xie;IEEE Trans. Ind. Electron.,2018

3. Building a grid-semantic map for the navigation of service robots through human-robot interaction;Zhao;Digit. Commun. Netw.,2015

4. Building a grid-point cloud-semantic map based on graph for the navigation of intelligent wheelchair;Zhao,2015

5. Semantic segmentation aided visual odometry for urban autonomous driving;An;Int. J. Adv. Robot. Syst.,2017

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1. Enhanced Monocular Visual Odometry: A Robust Appearance-Based Method for Accurate Vehicle Pose Estimation;IEEE Access;2024

2. Overview of Cooperative Fault-Tolerant Control Driven by the Full Information Chain of Intelligent Connected Vehicle Platoons Under the Zero-Trust Framework: Opportunities and Challenges;IEEE Intelligent Transportation Systems Magazine;2024-01

3. Pose estimation via structure-depth information from monocular endoscopy images sequence;Biomedical Optics Express;2023-12-22

4. Dynamic Object-Aware SLAM: YoloV8 Integration and Enhanced Multi-View Geometry for Reliable Mapping in Dynamic Environment;2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC);2023-07-21

5. Application of Object Detection in Autonomous Driving;2023 2nd International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME);2023-06

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