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Found 7 papers, 2 papers with code
RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving
Furthermore, RoadRunner improves the system latency by a factor of roughly 4, from 500 ms to 140 ms, while improving the accuracy for traversability costs and elevation map predictions.
Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo Porcine Tissue
New sensing technologies and more advanced processing algorithms are transforming computer-integrated surgery.
Learning-based Localizability Estimation for Robust LiDAR Localization
LiDAR-based localization and mapping is one of the core components in many modern robotic systems due to the direct integration of range and geometry, allowing for precise motion estimation and generation of high quality maps in real-time.
Self-supervised Learning of LiDAR Odometry for Robotic Applications
Reliable robot pose estimation is a key building block of many robot autonomy pipelines, with LiDAR localization being an active research domain.
Robotics
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Fast feedback control and safety guarantees are essential in modern robotics.
Traffic Density Estimation using a Convolutional Neural Network
A traffic density estimation algorithm at traffic lights/junctions and 2. a suitable traffic signal control algorithms that make use of the density information for better traffic control.
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping
Our solution is implemented in and for the frame of Duckietown.
