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
Embedded architecture with hardware accelerator for target recognition in driver assistance system
ACM SIGARCH Computer Architecture News
Research advances in intelligent collision avoidance and adaptive cruise control
IEEE Transactions on Intelligent Transportation Systems
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
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This paper presents a new Driver Assistant System (DAS) using radar signatures. The new system is able in one hand to track multiple obstacles and on the other hand to identify obstacles during vehicle movements. The combination of these two functions on the same DAS gives the benefits of avoiding false alarms. Also, it makes possible to generate alarms that take into account the identification of the obstacles. The obstacle tracking process is simplified thanks to the identification stage. Hence, our low cost FPGA-based System-on-Chip is able to detect, recognize and track a large number of obstacles in a relatively reduced time period. Our experimental result proves that a speed up of 32% can be obtained compared to the standard system.