2014 · 25 citations · 13 references
ComputingAutonomous SystemsComputer ScienceAutonomous VehiclesPath PlanningRoboticsCollision AvoidanceCollision Avoidance ControlCollision DetectionObstacle AvoidanceObstacle DetectionRobot NavigationMotion Planning With Obstacle AvoidanceObstacle Avoidance Trajectory PlanningReal-time Avoidance Algorithms
Abstract. Recently, researchers have tried to solve the computational intensive three-dimensional obstacle avoidance by creating a 2D map from a 3D map or by creating a 2D map with multiple altitude levels. When a robot can move in a three-dimensional space, these techniques are no longer sufficient. This paper proposes a new algorithm for real-time three-dimensional obstacle avoidance. This algorithm is based on the 2D VFH+ obstacle avoidance algorithm and uses the octomap frame-work to represent the three-dimensional environment. The algorithm will generate a 2D Polar Histogram from this octomap which will be used to generate a robot motion. The results show that the robot is able to avoid 3D obstacles in real-time. The algorithm is able to calculate a new robot motion with an average time of 300 µs.
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OctoMap: an efficient probabilistic 3D mapping framework based on octrees
Armin Hornung, Kai M. Wurm, Maren Bennewitz et al. · Autonomous Robots · 2013 · 2.8K citations
An evaluation of the RGB-D SLAM system
Felix Endres, Jürgen Hess, Nikolas Engelhard et al. · 2012 · 725 citations
VFH+: reliable obstacle avoidance for fast mobile robots
Iwan Ulrich, J. Borenstein · 2002 · 695 citations