Title :
Multi-Sensor Based Perception Network for Vehicle Driving Assistance
Author :
Han, Jun ; Liu, Fuqiang ; Li, Zhipeng ; Zhang, Shanshan
Author_Institution :
Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China
Abstract :
In this paper, a multi-sensor based perception network for vehicle driving assistance is described. The network could reconstruct the 3D real world from the data obtained by the sensors, recognize dangerous occasions in advance and give the driver a suggestion or warning to prevent from the accident. Vehicle driving assistance is a research area which requires high accuracy and precision. The purpose of this perception network is to make up for the weakness of one sensor by means of the advantages of other sensors in the network. We will discuss the details of our adopted solutions, and present some real experimental results.
Keywords :
computer vision; driver information systems; 3D real world; multi-sensor based perception network; vehicle driving assistance; Automotive engineering; Cameras; Computer vision; Driver circuits; Embedded system; Global Positioning System; Home appliances; Laboratories; Road accidents; Vehicle driving;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5305259
