WebAug 15, 2024 · Highway Drone Dataset "The Highway Drone Dataset Naturalistic Trajectories of 110 500 Vehicles Recorded at German Highways" Movebank A collection of animal tracking data from projects all over the world. Solar Resource Data and Tools WebFurthermore, we provide a large-scale naturalistic vehicle trajectory dataset from German highways called highD. We evaluate the data in terms of quantity, variety and contained scenarios. Our dataset consists of 16.5 hours of measurements from six locations with 110 000 vehicles, a total driven distance of 45 000 km and 5600 recorded complete ...
Time headway distribution analysis of naturalistic road users
WebNov 1, 2024 · The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems Authors: Robert Krajewski RWTH Aachen University... WebNov 18, 2024 · By contrast, the highway drone dataset (highD) has recently shown that drones are an efficient method for acquiring naturalistic road user trajectories. Compared … importance of studying bioethics
YOLO-Highway: An Improved Highway Center Marking Detection
WebOpen Datasets - Search 500+ ML Datasets Tasks Clear 3D Object Detection 3D Object Pose 3D Reconstruction / Photogrammetry 3D Semantic Segmentation Autonomous Driving Computational Photography Data Visualization DeepFakes Event Detection Face Alignment Face Detection Face Keypoint Estimation Face Recognition Facial Emotion Recognition WebMay 10, 2024 · The microscopic trajectory data from the Highway Drone Dataset (HighD) are employed to construct two types of datasets, including precise trajectory datasets and fuzzy trajectory datasets for lane-changing prediction models. The fuzzy trajectory data are developed based on different driving styles, which are clustered by the K-means algorithm. WebJan 20, 2024 · The highD dataset is a new dataset of naturalistic vehicle trajectories recorded on German highways. Using a drone, typical limitations of established traffic … literary historical