A New Method for Distance and Relative Velocity Measurement in Vehicle Collision Warning System

2006 ◽  
Author(s):  
Jiangfeng Wang ◽  
Feng Gao ◽  
Shaoyou Shi ◽  
Jian Wang
Keyword(s):  
Velocity Measurement ◽  
Relative Velocity ◽  
Warning System ◽  
New Method ◽  
Collision Warning ◽  
Vehicle Collision

A Novel Method for Distance and Relative Velocity Measurement in Rear-End Collision Warning System

1996 ◽  
Author(s):  
K. W. Jhang ◽  
I. G. Hyun ◽  
K. J. Kim ◽  
K. J. Song ◽  
S. J. Lee ◽  
...  
Keyword(s):  
Velocity Measurement ◽  
Relative Velocity ◽  
Warning System ◽  
Collision Warning ◽  
Novel Method

Implementation 2D Lidar and Camera for detection object and distance based on RoS

2020 ◽  
Vol 4 (4) ◽  
pp. 231
Author(s):  
Agus Mulyanto ◽  
Rohmat Indra Borman ◽  
Purwono Prasetyawan ◽  
A Sumarudin
Keyword(s):  
Warning System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Human Errors ◽  
Collision Warning ◽  
Robot Operating System ◽  
Vehicle Collision ◽  
Environment Perception ◽  
Assistance Systems ◽  
Camera Sensors

The advanced driver assistance systems (ADAS) are one of the issues to protecting people from vehicle collision. Collision warning system is a very important part of ADAS to protect people from the dangers of accidents caused by fatigue, drowsiness and other human errors. Multi-sensors has been widely used in ADAS for environment perception such as cameras, radar, and light detection and ranging (LiDAR). We propose the relative orientation and translation between the two sensors are things that must be considered in performing fusion. we discuss the real-time collision warning system using 2D LiDAR and Camera sensors for environment perception and estimate the distance (depth) and angle of obstacles. In this paper, we propose a fusion of two sensors that is camera and 2D LiDAR to get the distance and angle of an obstacle in front of the vehicle that implemented on Nvidia Jetson Nano using Robot Operating System (ROS). Hence, a calibration process between the camera and 2D LiDAR is required which will be presented in session III. After that, the integration and testing will be carried out using static and dynamic scenarios in the relevant environment. For fusion, we use the implementation of the conversion from degree to coordinate. Based on the experiment, we result obtained an average of 0.197 meters

Vehicle Collision Warning System and Algorithm at Intersection under Internet-Connected Vehicles Environment

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Tianping Liu ◽  
Yunpeng Wang ◽  
E. Wenjuan ◽  
Daxin Tian ◽  
Guizhen Yu ◽  
...  
Keyword(s):  
Warning System ◽  
Connected Vehicles ◽  
Collision Warning ◽  
Vehicle Collision

Improved Position and Attitude Determination Method for Monocular Vision in Vehicle Collision Warning System

2016 ◽  
Vol 30 (07) ◽  
pp. 1655019 ◽  
Author(s):  
Lijuan Qin ◽  
Ting Wang ◽  
Yulan Hu ◽  
Chen Yao
Keyword(s):  
Real Time ◽  
Solution Method ◽  
Warning System ◽  
Time Characteristic ◽  
Monocular Vision ◽  
Theoretical Research ◽  
Driving Safety ◽  
License Plate ◽  
Collision Warning ◽  
Vehicle Collision

Vehicle collision warning system can determine the relative distance and speed between target vehicle and the front vehicle by monocular vision positioning technique from automobile license plate image captured by camera so as to judge danger level and remind the driver to make appropriate action and avoid vehicle collision timely. Study on the positioning technology of this system aims to help the driver to judge and improve driving safety. Thus, the system has a broad application prospect. The research content of this paper could enrich and supply PNL visual locating method, endowing with significance of theoretical research. The paper proposes an improved vehicle measuring method based on monocular vision for vehicle license plate. This method combines the characteristics of fast speed for analytical solution method and high positioning accuracy for iterative solution method, therefore has a high robustness and overcomes the multi-solution problem of P3P iterative method. The simulation experiments show that localization precision of the improved positioning method has been improved greatly as compared with P4L method. At the same time, the real-time characteristic of collision avoidance warning system with improved visual locating method has been improved a lot, and the new location algorithm has good performance in real-time characteristic, which greatly improve the processing ability of the system for images.

Sign in / Sign up

Export Citation Format

Share Document