Object SLAM With Robust Quadric Initialization and Mapping for Dynamic Outdoors
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University, Shenyang, China
2. School of Computing, Engineering and Intelligent Systems, Ulster University, Coleraine, U.K.
3. DAMO Academy, Alibaba Group, Hangzhou, China
Funder
National Natural Science Foundation of China
Major Science and Technology Projects of Liaoning Province
Foundation of Key Laboratory of Aerospace System Simulation
Foundation of Key Laboratory of Equipment Reliability
Major Science and Technology Innovation Engineering Projects of Shandong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10271405/10149129.pdf?arnumber=10149129
Reference46 articles.
1. Active SLAM for Mobile Robots With Area Coverage and Obstacle Avoidance
2. ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation
3. Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
4. MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
5. DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Deep Analysis of Visual SLAM Methods for Highly Automated and Autonomous Vehicles in Complex Urban Environment;IEEE Transactions on Intelligent Transportation Systems;2024-09
2. ObVi-SLAM: Long-Term Object-Visual SLAM;IEEE Robotics and Automation Letters;2024-03
3. DynaQuadric: Dynamic Quadric SLAM for Quadric Initialization, Mapping, and Tracking;IEEE Transactions on Intelligent Transportation Systems;2024
4. A stereo vision SLAM with moving vehicles tracking in outdoor environment;Machine Vision and Applications;2023-11-28
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