Multi-User Ultra-Wide Band Communication System Based on Modified Gegenbauer and Hermite Functions
Wireless Personal Communications: An International Journal
A Computer Vision System on a Chip: a case study from the automotive domain
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
An MPSoC architecture for the Multiple Target Tracking application in driver assistant system
ASAP '08 Proceedings of the 2008 International Conference on Application-Specific Systems, Architectures and Processors
FPGA-based Radar Signal Processing for Automotive Driver Assistance System
RSP '09 Proceedings of the 2009 IEEE/IFIP International Symposium on Rapid System Prototyping
Research advances in intelligent collision avoidance and adaptive cruise control
IEEE Transactions on Intelligent Transportation Systems
Radar signature in multiple target tracking system for driver assistant application
Proceedings of the Conference on Design, Automation and Test in Europe
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This paper presents a new Radar-based recognition system, which is able to identify obstacles during a vehicle movement. Obstacles recognition gives the benefits of avoiding false alarms and allows generating alarms that take into account the identification of the obstacle in front of the vehicle. In this paper, we first identify hotspots in the target recognition application. Then, we propose an optimized version of the multiple target recognition algorithm to respect the real time constraints of the application while simplifying the underlying hardware platform. We also propose a flexible embedded architecture with hardware accelerator that supports the proposed algorithm. Using a low cost FPGA-based System-on-Chip, our system is able to detect and recognize more than 10 obstacles of different types in a time limit of 25 mSec.