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.

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[1] Hao Xu, "Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/vrch-2e10. Accessed: Feb. 17, 2025.
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doi = {10.21227/vrch-2e10},
url = {http://dx.doi.org/10.21227/vrch-2e10},
author = {Hao Xu },
publisher = {IEEE Dataport},
title = {Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment},
year = {2024} }
TY - DATA
T1 - Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment
AU - Hao Xu
PY - 2024
PB - IEEE Dataport
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Hao Xu. (2024). Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment. IEEE Dataport. http://dx.doi.org/10.21227/vrch-2e10
Hao Xu, 2024. Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment. Available at: http://dx.doi.org/10.21227/vrch-2e10.
Hao Xu. (2024). "Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment." Web.
1. Hao Xu. Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/vrch-2e10
Hao Xu. "Intelligent Vehicle Energy Saving and Obstacle Avoidance Driving Human Manipulation Dataset in Unstructured Environment." doi: 10.21227/vrch-2e10