Next Article in Journal
Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine
Next Article in Special Issue
Multi-Stage Hough Space Calculation for Lane Markings Detection via IMU and Vision Fusion
Previous Article in Journal
Comparison between Concentration and Immersion Based on EEG Analysis
Previous Article in Special Issue
Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving
Open AccessArticle

Simulating Dynamic Driving Behavior in Simulation Test for Unmanned Vehicles via Multi-Sensor Data

1
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an 710049, Shaanxi, China
2
School of Software Engineering, Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an 710049, Shaanxi, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1670; https://doi.org/10.3390/s19071670
Received: 25 February 2019 / Revised: 30 March 2019 / Accepted: 3 April 2019 / Published: 8 April 2019
(This article belongs to the Special Issue Intelligent Vehicles)
Driving behavior is the main basis for evaluating the performance of an unmanned vehicle. In simulation tests of unmanned vehicles, in order for simulation results to be approximated to the actual results as much as possible, model of driving behaviors must be able to exhibit actual motion of unmanned vehicles. We propose an automatic approach of simulating dynamic driving behaviors of vehicles in traffic scene represented by image sequences. The spatial topological attributes and appearance attributes of virtual vehicles are computed separately according to the constraint of geometric consistency of sparse 3D space organized by image sequence. To achieve this goal, we need to solve three main problems: Registration of vehicle in a 3D space of road environment, vehicle’s image observed from corresponding viewpoint in the road scene, and consistency of the vehicle and the road environment. After the proposed method was embedded in a scene browser, a typical traffic scene including the intersections was chosen for a virtual vehicle to execute the driving tasks of lane change, overtaking, slowing down and stop, right turn, and U-turn. The experimental results show that different driving behaviors of vehicles in typical traffic scene can be exhibited smoothly and realistically. Our method can also be used for generating simulation data of traffic scenes that are difficult to collect. View Full-Text
Keywords: simulation test; dynamic driving behavior; traffic scene augmentation; corridor model simulation test; dynamic driving behavior; traffic scene augmentation; corridor model
Show Figures

Figure 1

MDPI and ACS Style

Zhao, D.; Li, Y.; Liu, Y. Simulating Dynamic Driving Behavior in Simulation Test for Unmanned Vehicles via Multi-Sensor Data. Sensors 2019, 19, 1670.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop