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Found 12 papers, 2 papers with code
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
To the best of our knowledge, this is the first work directly performing motion segmentation in LiDAR BEV space.
A Benchmark for Spray from Nearby Cutting Vehicles
Current driver assistance systems and autonomous driving stacks are limited to well-defined environment conditions and geo fenced areas.
Conference proceedings KI4Industry AI for SMEs -- The online congress for practical entry into AI for SMEs
The Institute of Materials and Processes, IMP, of the University of Applied Sciences in Karlsruhe, Germany in cooperation with VDI Verein Deutscher Ingenieure e. V, AEN Automotive Engineering Network and their cooperation partners present their competences of AI-based solution approaches in the production engineering field.
Multilevel Monte Carlo learning
The idea is to train several neural networks, each having a certain approximation quality and computational complexity, with training data computed from so-called level estimators, introduced by Giles.
Numerical Analysis Numerical Analysis
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Furthermore, we integrate our matching system into a LiDAR odometry pipeline yielding most accurate results on the KITTI odometry dataset.
Brexit Risk Implied by the SABR Martingale Defect in the EUR-GBP Smile
We construct a data-driven statistical indicator for quantifying the tail risk perceived by the EURGBP option market surrounding Brexit-related events.
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications.
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics.
Ranked #6 on
3D Multi-Object Tracking
on KITTI
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
The generator is capable of processing three conditions, whereas the point-cloud is encoded as raw point-set and camera projection.
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance.
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
For instance, they do not capture the extensive variability in the appearance of objects like vehicles present in real datasets.
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.
