Abstract: Humans rely on multiple senses to understand their surroundings, and so do robots. Current research in haptic object classification focuses on visual-haptic methods, but faces limitations in ...
Abstract: The use of Convolutional Neural Networks (CNNs) is the state-of-the-art for 3D object detection from automotive/vehicle LiDAR point clouds. However, not all models perform uniformly well ...
A modular Python project for autonomous driving research and prototyping, fully integrated with the BeamNG.tech simulator and Foxglove visualization. This system combines traditional computer vision ...
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