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Predicting Unobserved Space For Planning via Depth Map Augmentation
(2019)2019 19th International Conference on Advanced Robotics (ICAR)Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot's environment. On Micro Air Vehicles (MAVs) this is commonly achieved using low-cost sensors, such as stereo or RGB-D cameras. These sensors may fail to provide depth measurements in textureless or IR-absorbing areas and have limited effective range. In path ...Conference Paper