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Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets
However, highly dynamic objects pose a unique challenge, as they can appear at different timestamps in each sensor's data.
Fully Sparse Long Range 3D Object Detection Using Range Experts and Multimodal Virtual Points
3D object detection at long-range is crucial for ensuring the safety and efficiency of self-driving cars, allowing them to accurately perceive and react to objects, obstacles, and potential hazards from a distance.
Unsupervised Learning for Subterranean Junction Recognition Based on 2D Point Cloud
This article proposes a novel unsupervised learning framework for detecting the number of tunnel junctions in subterranean environments based on acquired 2D point clouds.
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