2 papers
cs.RO2023
Differentiable SLAM Helps Deep Learning-based LiDAR Perception Tasks
Prashant Kumar, Dheeraj Vattikonda, Vedang Bhupesh Shenvi Nadkarni +2
We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised manner to train end-to-end deep learning models in various LiDAR based applications.…
cs.RO2023
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Erqun Dong, Sheroze Sheriffdeen, Shichao Yang +6
Robust, high-precision global localization is fundamental to a wide range of outdoor robotics applications. Conventional fusion methods use low-accuracy pseudorange based GNSS meas…