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A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors
In this paper, a deep learning approach is presented for direction of arrival estimation using automotive-grade ultrasonic sensors which are used for driving assistance systems such as automatic parking.
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
To the best of our knowledge, this is the first work directly performing motion segmentation in LiDAR BEV space.
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving
This paper introduces a novel multi-task learning strategy to improve self-supervised monocular distance estimation on fisheye and pinhole camera images.
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Furthermore, we integrate our matching system into a LiDAR odometry pipeline yielding most accurate results on the KITTI odometry dataset.
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