Sentence examples for based obstacle detection methods from inspiring English sources
Stereo matching based obstacle detection methods have two inherent limitations, including sensitivity to illumination variation and high computational complexity.
In this paper, we develop a vision based obstacle detection system by utilizing our proposed fisheye lens inverse perspective mapping (FLIPM) method.
The obstacle detection method proposed is more suitable for detecting structured obstacles that may have vertical edges; for example, walls, pillars and tables.
Our system's initial prototype will attempt to detect all obstacles mentioned above other than descending stairs (since our current obstacle detection method searches for objects above the floor level).
Firstly, we improve obstacle detection method in order to decrease the detection miss by using plane segmentation on organized point cloud and eliminating the assumption that obstacles are on the ground.
We propose in this paper an obstacle detection method using a monocular camera mounted on a vehicle receiving the light variations in the scene on the road ahead and analyzing the captured images to carry out the obstacle detection.
In [23], a method was proposed for appearance-based obstacle detection.
This paper presents a context-aware smartphone-based based visual obstacle detection approach to aid visually impaired people in navigating indoor environments.
We implemented the CNN based detection method in MATLAB 2016b (The MathWorks, Natick, MA) with MatConvNet56 1.0-beta23.
In this paper, a correlation based detection method is used.
