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Airborne particle classification in LiDAR point clouds using deep learning
(2021)Springer Proceedings in Advanced Robotics ~ Field and Service RoboticsLiDAR sensors have been very popular in robotics due to their ability to provide accurate range measurements and their robustness to lighting conditions. However, their sensitivity to airborne particles such as dust or fog can lead to perception algorithm failures (e.g., the detection of false obstacles by field robots). In this work, we address this problem by proposing methods to classify airborne particles in LiDAR data. We propose and ...Conference Paper