2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
DOI: 10.1109/iros45743.2020.9340912
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Improving Autonomous Rover Guidance in Round-Trip Missions Using a Dynamic Cost Map

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Cited by 3 publications
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“…First of all, the cost map of the scenario was generated by processing a 2cm resolution Digital Elevation Map (DEM) of the PRL. This cost map considers obstacles, slopes and roughness, for more information about the cost map generation see [30]. The tests time horizon t N was 160 s, with a time step t of 0.8 s. For the motion planner to converge, the maximum allowed position error was set-up to 1 cm and the orientation error to 10 • .…”
Section: Methodsmentioning
confidence: 99%
“…First of all, the cost map of the scenario was generated by processing a 2cm resolution Digital Elevation Map (DEM) of the PRL. This cost map considers obstacles, slopes and roughness, for more information about the cost map generation see [30]. The tests time horizon t N was 160 s, with a time step t of 0.8 s. For the motion planner to converge, the maximum allowed position error was set-up to 1 cm and the orientation error to 10 • .…”
Section: Methodsmentioning
confidence: 99%
“…Ugur and Bebek [23] presented the motion planning of the exploration rover based on a real-time cost map using a depth field and color image data to pass through rugged terrain. Similarly, a study [24] proposed an approach that divides terrain into paths, and assigns each of paths with a cost for path planning in a mars-like environment. In an indoor environment, a robot created a 3D-octomap using wheel odometry, 2D laser, and RGB-D camera to pass through the terrain so that the robot moves up and down the slope, avoiding the stairs, arriving at a set destination [25].…”
Section: Related Workmentioning
confidence: 99%