1A1-H06 Autonomous Navigation of Hydraulically Actuated Hexapod Robot COMET-IV : The 3rd Report : Vertical Step Locomotion Control with Stereo Vision Camera

2008 ◽  
Vol 2008 (0) ◽  
pp. _1A1-H06_1-_1A1-H06_4
Author(s):  
Xiaowu LIN ◽  
Hiroshi OOROKU ◽  
Masaki OKU ◽  
Yuji HARADA ◽  
Kosuke FUTAGAMI ◽  
...  
Keyword(s):  
Stereo Vision ◽  
Autonomous Navigation ◽  
Hexapod Robot ◽  
Locomotion Control ◽  
Hydraulically Actuated ◽  
Vertical Step

1A1-H03 Rough Terrain Locomotion Control of Hydraulically Actuated Hexapod Robot COMET-IV

2008 ◽  
Vol 2008 (0) ◽  
pp. _1A1-H03_1-_1A1-H03_4
Author(s):  
Masaki OKU ◽  
Hidetaka KOSEKI ◽  
Hiroshi OOROKU ◽  
Yuji HARADA ◽  
Kosuke FUTAGAMI ◽  
...  
Keyword(s):  
Rough Terrain ◽  
Hexapod Robot ◽  
Locomotion Control ◽  
Hydraulically Actuated

1A2-G01 Slope Locomotion Control of Hydraulically Actuated Hexapod Robot COMET-IV

2009 ◽  
Vol 2009 (0) ◽  
pp. _1A2-G01_1-_1A2-G01_3
Author(s):  
Duc Hien TRAN ◽  
Hiroshi OOROKU ◽  
Yuji HARADA ◽  
Kosuke FUTAGAMI ◽  
Xiaowu LIN ◽  
...  
Keyword(s):  
Hexapod Robot ◽  
Locomotion Control ◽  
Hydraulically Actuated

A survey on stereo vision-based autonomous navigation for multi-rotor MUAVs

Robotica ◽  
2018 ◽  
Vol 36 (8) ◽  
pp. 1225-1243 ◽  
Author(s):  
Jose-Pablo Sanchez-Rodriguez ◽  
Alejandro Aceves-Lopez
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Stereo Vision ◽  
Autonomous Navigation ◽  
Three Dimensional ◽  
Field Of View ◽  
Line Of Sight ◽  
Onboard Computer ◽  
Low Weight ◽  
Vision Based Navigation ◽  
Difficult Challenge

SUMMARYThis paper presents an overview of the most recent vision-based multi-rotor micro unmanned aerial vehicles (MUAVs) intended for autonomous navigation using a stereoscopic camera. Drone operation is difficult because pilots need the expertise to fly the drones. Pilots have a limited field of view, and unfortunate situations, such as loss of line of sight or collision with objects such as wires and branches, can happen. Autonomous navigation is an even more difficult challenge than remote control navigation because the drones must make decisions on their own in real time and simultaneously build maps of their surroundings if none is available. Moreover, MUAVs are limited in terms of useful payload capability and energy consumption. Therefore, a drone must be equipped with small sensors, and it must carry low weight. In addition, a drone requires a sufficiently powerful onboard computer so that it can understand its surroundings and navigate accordingly to achieve its goal safely. A stereoscopic camera is considered a suitable sensor because of its three-dimensional (3D) capabilities. Hence, a drone can perform vision-based navigation through object recognition and self-localise inside a map if one is available; otherwise, its autonomous navigation creates a simultaneous localisation and mapping problem.

scholarly journals NITCAD - Developing an object detection, classification and stereo vision dataset for autonomous navigation in Indian roads

2020 ◽  
Vol 171 ◽  
pp. 207-216
Author(s):  
Namburi GNVV Satya Sai Srinath ◽  
Athul Zac Joseph ◽  
S Umamaheswaran ◽  
Ch. Lakshmi Priyanka ◽  
Malavika Nair M ◽  
...  
Keyword(s):  
Object Detection ◽  
Stereo Vision ◽  
Autonomous Navigation
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