scholarly journals A Monocular Vision Sensor-Based Obstacle Detection Algorithm for Autonomous Robots

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 311 ◽  
Author(s):  
Tae-Jae Lee ◽  
Dong-Hoon Yi ◽  
Dong-Il Cho
Keyword(s):  
Autonomous Robots ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Monocular Vision ◽  
Vision Sensor

scholarly journals Integrating Millimeter Wave Radar with a Monocular Vision Sensor for On-Road Obstacle Detection Applications

Sensors ◽  
2011 ◽  
Vol 11 (9) ◽  
pp. 8992-9008 ◽  
Author(s):  
Tao Wang ◽  
Nanning Zheng ◽  
Jingmin Xin ◽  
Zheng Ma
Keyword(s):  
Millimeter Wave ◽  
Obstacle Detection ◽  
Monocular Vision ◽  
Vision Sensor ◽  
Millimeter Wave Radar ◽  
Wave Radar

A Fast Obstacle Detection Algorithm for Mobile Robots and Its Application

ROBOT ◽  
2011 ◽  
Vol 33 (2) ◽  
pp. 198-201 ◽  
Author(s):  
Xiaochuan ZHAO ◽  
Peizhi LIU ◽  
Min ZHANG ◽  
Lihui YANG ◽  
Jianchang SHI
Keyword(s):  
Mobile Robots ◽  
Detection Algorithm ◽  
Obstacle Detection

Real-time obstacle detection with motion features using monocular vision

2014 ◽  
Vol 31 (3) ◽  
pp. 281-293 ◽  
Author(s):  
Baozhi Jia ◽  
Rui Liu ◽  
Ming Zhu
Keyword(s):  
Real Time ◽  
Obstacle Detection ◽  
Monocular Vision ◽  
Motion Features

A noise-robust obstacle detection algorithm for mobile robots using active 3D sensors

2014 ◽  
Author(s):  
Andrea Claudi ◽  
Daniele Accattoli ◽  
Paolo Sernani ◽  
Paolo Calvaresi ◽  
Aldo Franco Dragoni
Keyword(s):  
Mobile Robots ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Noise Robust

Multi-obstacle detection based on monocular vision for UAV

2021 ◽  
Author(s):  
Xingbin She ◽  
Deqing Huang ◽  
Chenjian Song ◽  
Na Qin ◽  
Taoyuan Zhou
Keyword(s):  
Obstacle Detection ◽  
Monocular Vision

Negative Obstacle Detection Using LiDAR Sensors for a Robotic Wheelchair

2018 ◽  
Author(s):  
Taylor E. Baum ◽  
Kelilah L. Wolkowicz ◽  
Joseph P. Chobot ◽  
Sean N. Brennan
Keyword(s):  
Time Algorithm ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Detection Accuracy ◽  
Time Varying ◽  
Wheelchair Users ◽  
Development Platform ◽  
Robotic Wheelchairs ◽  
Robotic Wheelchair ◽  
Negative Obstacle

The objective of this work is to develop a negative obstacle detection algorithm for a robotic wheelchair. Negative obstacles — depressions in the surrounding terrain including descending stairwells, and curb drop-offs — present highly dangerous navigation scenarios because they exhibit wide characteristic variability, are perceptible only at close distances, and are difficult to detect at normal operating speeds. Negative obstacle detection on robotic wheelchairs could greatly increase the safety of the devices. The approach presented in this paper uses measurements from a single-scan laser range-finder and a microprocessor to detect negative obstacles. A real-time algorithm was developed that monitors time-varying changes in the measured distances and functions through the assumption that sharp increases in this monitored value represented a detected negative obstacle. It was found that LiDAR sensors with slight beam divergence and significant error produced impressive obstacle detection accuracy, detecting controlled examples of negative obstacles with 88% accuracy for 6 cm obstacles and above on a robotic development platform and 90% accuracy for 7.5 cm obstacles and above on a robotic wheelchair. The implementation of this algorithm could prevent life-changing injuries to robotic wheelchair users caused by negative obstacles.

A Novel Method for Tramcar Anti-Collision Warning System Based on Monocular Vision

2012 ◽  
Vol 430-432 ◽  
pp. 1871-1876
Author(s):  
Hui Bo Bi ◽  
Xiao Dong Xian ◽  
Li Juan Huang
Keyword(s):  
Software Design ◽  
Early Warning System ◽  
Warning System ◽  
Detection Algorithm ◽  
Lane Detection ◽  
Monocular Vision ◽  
System Construction ◽  
Collision Warning ◽  
Lane Width ◽  
Novel Method

For the problem of tramcar collision accident in coal mine underground, a monocular vision-based tramcar anti-collision warning system based on ARM and FPGA was designed and implemented. In this paper, we present an improved fast lane detection algorithm based on Hough transform. Besides, a new distance measurement and early-warning system based on the invariance of the lane width is proposed. System construction, hardware architecture and software design are given in detail. The experiment results show that the precision and speed of the system can satisfy the application requirement.

Smooth Track-Keeping and Real Time Obstacle Detection Algorithm and its PID Controller Implementation for an Automated Wheeled Line Following Robot

2011 ◽  
Vol 201-203 ◽  
pp. 1966-1971 ◽  
Author(s):  
Mohammad Rokonuzzaman ◽  
Shah Muhammad Ferdous ◽  
Enaiyat Ghani Ovy ◽  
Md. Ashraful Hoque
Keyword(s):  
Mobile Robot ◽  
Pid Controller ◽  
Material Handling ◽  
Moving Objects ◽  
Detection Algorithm ◽  
Acute Angle ◽  
Obstacle Detection ◽  
Response Position ◽  
Wavy Line ◽  
Line Following

Line following automated robots is extensively used in industries for smooth running of production. This paper presents a simple and effective solution for path tracking problem for a wheeled automated mobile robot which can be used for material handling in industries. A PID controller has been used for controlling the robot which is capable of moving safely by smooth track-keeping in partially structured environment without any collision with static or moving objects. The purpose of the project is to build a mobile robot which will provide fast, smooth, accurate and safe movement in any given line or track. A straight or wavy line would be simple to follow whereas aT-junction, 90 degree bends, acute angle bends and grid junctions would be difficult to navigate through. This is due to the physical kinematics constraints which are limited to motor response, position and turning radius of the robot. A line sensor configuration has been proposed to improve the navigation reliability of the mobile robot which uses differential drive system. A dynamic algorithm has been developed for detecting and following a specified line which ensures the reliable and safe movement of the robot.

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