A robust obstacle detection method for robotic vacuum cleaners

2014 ◽  
Vol 60 (4) ◽  
pp. 587-595 ◽  
Author(s):  
Mun-cheon Kang ◽  
Kwang-shik Kim ◽  
Dong-ki Noh ◽  
Jong-woo Han ◽  
Sung-jea Ko
Keyword(s):  
Detection Method ◽  
Obstacle Detection

scholarly journals The Obstacle Detection Method of UAV Based on 2D Lidar

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 163437-163448 ◽  
Author(s):  
Lanxiang Zheng ◽  
Ping Zhang ◽  
Jia Tan ◽  
Fang Li
Keyword(s):  
Detection Method ◽  
Obstacle Detection

Vision-IMU Based Obstacle Detection Method

2018 ◽  
pp. 475-487
Author(s):  
Yi Xu ◽  
Song Gao ◽  
Shiwu Li ◽  
Derong Tan ◽  
Dong Guo ◽  
...  
Keyword(s):  
Detection Method ◽  
Obstacle Detection

A novel obstacle detection method based on deformable grid for the visually impaired

2015 ◽  
Vol 61 (3) ◽  
pp. 376-383 ◽  
Author(s):  
Mun-Cheon Kang ◽  
Sung-Ho Chae ◽  
Jee-Young Sun ◽  
Jin-Woo Yoo ◽  
Sung-Jea Ko
Keyword(s):  
Visually Impaired ◽  
Detection Method ◽  
Obstacle Detection

An Road Obstacle Detection Method Based on Monocular Measurement

2011 ◽  
Vol 55-57 ◽  
pp. 539-544
Author(s):  
Hong Jiao Jin ◽  
Shen Lin ◽  
Shi Guang Luo
Keyword(s):  
Detection Method ◽  
Vision System ◽  
Measurement Model ◽  
Obstacle Detection ◽  
Monocular Vision ◽  
Projection Model ◽  
Vision Navigation ◽  
Acceptable Range ◽  
World Coordinate System ◽  
The World

Obstacle detection in the intelligent vehicle vision navigation system occupies a very important role. The studies for the obstacles detecting, especially Monocular Measurement from the computer vision, simplifying monocular vision system to camera projection model. Getting the conversion relation between image coordinate and the world coordinate system through the geometry derivation to establish the measurement model and achieve the obstacle measurement. The experiment proved that the error of this measurement model selected is within the acceptable range.

A New Roadside Detection Method Based on Obstacle Detection

2012 ◽  
Vol 429 ◽  
pp. 324-328
Author(s):  
Chun He Yu ◽  
Dan Ping Zhang ◽  
Rui Guo
Keyword(s):  
Mobile Robot ◽  
High Stability ◽  
Detection Method ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Laser Radar ◽  
The Road ◽  
Straight Lines

In order to provide road information for outdoor mobile robot in a complicated environment, a new roadside detection method is proposed based on obstacle detection by applying a four-layer laser radar LD_ML. Because roadside obstacles distribute alone a road, theirs fitting straight lines are parallel to the road. The roadsides detection algorithm includes four steps: first, judge if there are obstacles along roadside or not; second, extract obstacles which belong to roadsides; third, build fitting straight lines through the roadside obstacles; at last, in order to obtain steady and precise roadsides, a EKF method is performed to track the roadsides. The results of experiment have testified the road roadsides detection algorithm has high stability and reliability.

Real-Time Automatic Obstacle Detection method for Traffic Surveillance in Urban Traffic

2015 ◽  
Vol 82 (3) ◽  
pp. 357-371 ◽  
Author(s):  
Jinhui Lan ◽  
Yaoliang Jiang ◽  
Guoliang Fan ◽  
Dongyang Yu ◽  
Qi Zhang
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Obstacle Detection ◽  
Urban Traffic ◽  
Traffic Surveillance
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