MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks-Reference-Cited by-同舟云学术

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MSDPN: Monocular Depth Prediction with Partial Laser Observation using Multi-stage Neural Networks

Published:2020-10-24 Issue: Volume: Page:
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Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Lim Hyungtae,Gil Hyeonjae,Myung Hyun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09340767.pdf?arnumber=9340767

Cited by 5 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. Similar but Different: A Survey of Ground Segmentation and Traversability Estimation for Terrestrial Robots;International Journal of Control, Automation and Systems;2024-02

2. PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry;2022 19th International Conference on Ubiquitous Robots (UR);2022-07-04

3. Deep Reinforcement Learning for Robot Collision Avoidance With Self-State-Attention and Sensor Fusion;IEEE Robotics and Automation Letters;2022-07

4. What if there was no revisit? Large-scale graph-based SLAM with traffic sign detection in an HD map using LiDAR inertial odometry;Intelligent Service Robotics;2021-11-25

5. Scanline Resolution-Invariant Depth Completion Using a Single Image and Sparse LiDAR Point Cloud;IEEE Robotics and Automation Letters;2021-10

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