Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment

Citation Author(s):
Hao
Xu
Jilin University
Submitted by:
xuhao xu
Last updated:
Sat, 06/15/2024 - 07:04
DOI:
10.21227/vrch-2e10
License:
0
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Abstract 

This dataset includes environmental perception, vehicle motion status, and battery consumption during vehicle operation. The dataset is collected by human operators during the safe and smooth operation of vehicles. By dividing the hazardous areas in the current environment of the vehicle and processing them, a radar map of the hazardous areas is generated; The vehicle motion status section contains the position information (x, y, z) and kinematic information (v, w, a, alpha, beta, gamma) of the vehicle. Alpha, beta, and gamma represent the heading angle, pitch angle, and roll angle of the vehicle, respectively; The power consumption situation refers to the cumulative consumption of electricity during vehicle operation

Instructions: 

The dataset is divided into three parts, namely "Hazardous area data sets (radar maps)", "Inertial Navigation Dataset", and "Image datasets". Among them, the Hazardous area data sets (radar maps) evaluate the hazardous areas in the environment based on the current driving status of the vehicle and process the radar maps; The Inertial Navigation Dataset contains vehicle driving status data, battery consumption data, vehicle location information, etc; Image datasets are RGB images captured during vehicle operation.

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