Mobile Robot 3D Perception and Mapping without Odometry Using Multi-Resolution Occupancy Lists

2007 ◽  
Author(s):  
Julian Ryde ◽  
Huosheng Hu
Keyword(s):  
Mobile Robot ◽  
3D Perception

A next generation mobile robot with multi-mode sense of 3D perception

2015 ◽  
Author(s):  
Parijat Deshpande ◽  
V. Ramu Reddy ◽  
Arindam Saha ◽  
Karthikeyan Vaiapury ◽  
Keshaw Dewangan ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Next Generation ◽  
3D Perception ◽  
Multi Mode

scholarly journals Obstacles Regions 3D-Perception Method for Mobile Robots Based on Visual Saliency

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Tao Xu ◽  
Songmin Jia ◽  
Zhengyin Dong ◽  
Xiuzhi Li
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Depth Map ◽  
Visual Saliency ◽  
Kinect Sensor ◽  
Original Image ◽  
3D Perception ◽  
Pulse Input ◽  
Region Extraction ◽  
Salience Map

A novel mobile robots 3D-perception obstacle regions method in indoor environment based on Improved Salient Region Extraction (ISRE) is proposed. This model acquires the original image by the Kinect sensor and then gains Original Salience Map (OSM) and Intensity Feature Map (IFM) from the original image by the salience filtering algorithm. The IFM was used as the input neutron of PCNN. In order to make the ignition range more exact, PCNN ignition pulse input was further improved as follows: point multiplication algorithm was taken between PCNN internal neuron and binarization salience image of OSM; then we determined the final ignition pulse input. The salience binarization region abstraction was fulfilled by improved PCNN multiple iterations finally. Finally, the binarization area was mapped to the depth map obtained by Kinect sensor, and mobile robot can achieve the obstacle localization function. The method was conducted on a mobile robot (Pioneer3-DX). The experimental results demonstrated the feasibility and effectiveness of the proposed algorithm.

3-D Scan Matching for Mobile Robot Localization over Rough Terrain

2019 ◽  
Vol 139 (9) ◽  
pp. 1041-1050
Author(s):  
Hiroyuki Nakagomi ◽  
Yoshihiro Fuse ◽  
Hidehiko Hosaka ◽  
Hironaga Miyamoto ◽  
Takashi Nakamura ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Rough Terrain ◽  
Robot Localization ◽  
Scan Matching ◽  
Mobile Robot Localization

Control of Autonomous Mobile Robot Using Map Matching with Optimized Search Range

2013 ◽  
Vol 133 (5) ◽  
pp. 502-509 ◽  
Author(s):  
Kouhei Komiya ◽  
Shunsuke Miyashita ◽  
Yutaka Maruoka ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robot ◽  
Map Matching ◽  
Autonomous Mobile Robot ◽  
Search Range
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