2026-10-06T17:40:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33381304 2026-09-24T16:03:35Z category_32963 category_33503 category_35630 portal_935 item_type_3 month_year_09_2026

Dataset associated with "Instrumented Vehicle Multi-Sensor Dataset: LiDAR, GNSS, and Stereo Camera Recordings of Roadside Sign Approaches" Steve Southward (10598279) Engineering Mechanical engineering Computer vision Autonomous vehicle sensing LiDAR point cloud GNSS/INS Stereo Camera Roadside infrastructure <p dir="ltr">This dataset contains time-synchronized LiDAR point cloud, GNSS/INS, and stereo camera recordings from an instrumented test vehicle (Chevrolet Bolt EUV, Virginia Tech AutoDrive Challenge platform) performing four controlled approaches toward roadside regulatory traffic signs. Recordings were collected at nominal speeds of 15, 20, and 25 mph, including one run incorporating a braking maneuver to near standstill. Each recording combines a Cepton LiDAR point cloud, Hexagon/NovAtel GNSS position, velocity, and attitude data, and ZED X stereo camera imagery, all originally acquired as separate ROS bag streams and time-aligned in post-processing into a single MATLAB data file. A corresponding overview video, showing a cropped camera subregion alongside a bird's-eye-view rendering of the point cloud, accompanies each recording. The dataset is suited to research in vehicle localization, roadside infrastructure perception, multi-sensor calibration and fusion, and related autonomous-vehicle sensing problems.</p> 2026-09-24T16:03:35Z Dataset Dataset 10.7294/33381304.v1 https://figshare.com/articles/dataset/Dataset_associated_with_Instrumented_Vehicle_Multi-Sensor_Dataset_LiDAR_GNSS_and_Stereo_Camera_Recordings_of_Roadside_Sign_Approaches_/33381304 CC0 1.0 Universal (CC0 1.0) Public Domain Dedication