Vision-Based Probabilistic Map Estimation with an Inclined Surface Grid for Rough Terrain Rover Navigation-Reference-Cited by-同舟云学术

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Vision-Based Probabilistic Map Estimation with an Inclined Surface Grid for Rough Terrain Rover Navigation

Published:2010-01 Issue:3 Volume:24 Page:421-440
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Saitoh Teppei¹,Suzuki Masataka²,Kuroda Yoji³

Affiliation:

1. a Department of Mechanical Engineering, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan;, Email: tsaitoh@isc.meiji.ac.jp

2. b Department of Mechanical Engineering, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan

3. c Department of Mechanical Engineering, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1163/016918609X12619993300746

Reference27 articles.

1. A subdivision algorithm for smooth 3D terrain models

2. A Real-Time Expectation-Maximization Algorithm for Acquiring Multiplanar Maps of Indoor Environments With Mobile Robots

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1. Model Predictive Control of Autonomous Vehicles With Integrated Barriers Using Occupancy Grid Maps;IEEE Robotics and Automation Letters;2023-04

2. Mapping for Planetary Rovers from Terramechanics Perspective*;2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2019-11

3. Obstacle Classification and 3D Measurement in Unstructured Environments Based on ToF Cameras;Sensors;2014-06-18

4. Analysis of solutions to the time-optimal planning and execution problem;Intelligent Service Robotics;2012-09-15

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