Abstract: Accurate odometry is crucial for mapping and localization of autonomous vehicles in unknown environment. Deep neural networks have shown significant promise in self-supervised odometry, ...
RealSense demos safer humanoid navigation at NVIDIA GTC, using 3D vision and simulation to enable reliable real-world robot ...
cuVSLAM is the library by NVIDIA, providing various Visual Tracking Camera modes and Simultaneous Localization and Mapping (SLAM) capabilities. Leveraging CUDA acceleration and a rich set of features, ...
Abstract: Making multi-camera visual SLAM systems easier to set up and more robust to the environment is attractive for vision robots. Existing monocular and binocular vision SLAM systems have narrow ...
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