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Found 6 papers, 3 papers with code
Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions
In this work, we present an approach for monocular hand-eye calibration from per-sensor ego-motion based on dual quaternions.
Anomaly Detection in Radar Data Using PointNets
On the one hand, radar offers a direct measurement of the radial velocity of targets in the environment.
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
A complete overview of the surrounding vehicle environment is important for driver assistance systems and highly autonomous driving.
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
Further, our online calibration approach is tested on the KITTI odometry dataset, which provides data of a lidar and two stereo camera systems mounted on a vehicle.
Robotics
DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration
This work addresses the problem of point cloud registration using deep neural networks.
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
The map is generated off-line by extracting landmarks from the vehicle's field of view, while the measurements are collected similarly on the fly.
