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Found 4 papers, 2 papers with code
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator
Though the framework is general to any form of parameter learning and sensor modality, we demonstrate application to feature and uncertainty learning with a deep network for 3D lidar odometry.
Variational Inference
Robotics
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
We provide insights into our network predictions and show that our approach can also improve the performances of common localization techniques.
Learning Matchable Image Transformations for Long-term Metric Visual Localization
Long-term metric self-localization is an essential capability of autonomous mobile robots, but remains challenging for vision-based systems due to appearance changes caused by lighting, weather, or seasonal variations.
Building a Winning Self-Driving Car in Six Months
The first set of challenges were held in April of 2018 in Yuma, Arizona.
Robotics
