Furthermore, we show that visual obstacle detection combined with a laser range finder can increase the detection rate of obstacles considerably, allowing the autonomous use of mobile robots in complex public and home environments.
Detection of small obstacles requires careful measurement design.
It allows real time detection and classification of obstacles, and the identification of potential risks.
Fakhfakh et al., "3D objects localization using fuzzy approach and hierarchical belief propagation: application at level crossings") introduces a robust stereomatching algorithm aimed at detection and localization of obstacles in the 3D space and relies on the algorithm to address the problem of visual monitoring at level crossings.
VANET applications improve passenger safety, avoid collission, detection of movable and fixed obstacles and broadcast weather information [24].
A critical challenge in the creation of autonomous mobile robots is the reliable detection of moving and static obstacles.
Different kinds of inputs, like the results of obstacle detection, ditch localization, lane detection, and global path planning information are merged together using potential fields to build a representation of the environment in real-time; kinematically feasible trajectories, based on vehicle dynamics, are generated on a cost map.
This study develops a distributed boundary detection (DBD) algorithm for identifying the boundaries of obstacles and networks.
The use of obstacle detection equipment, which detects the preceding vehicle by means of millimeter wave radar, is already well established [14 18].
The detection of vehicles, pedestrians or other obstacles approaching a LX requires the setting up of detectors.
Detection on moving obstacles like pedestrians and vehicles is of critical importance for autonomous vehicles.
