An Integrated Memory Array Processor Architecture for Embedded Image Recognition Systems
Proceedings of the 32nd annual international symposium on Computer Architecture
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
A low-cost mixed-mode parallel processor architecture for embedded systems
Proceedings of the 21st annual international conference on Supercomputing
A driving assistance system for navigation in urban environments
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
A high-performance dense block matching solution for automotive 6D-vision
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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This paper describes existing designs and future design trends of in-vehicle vision processors for driver assistance systems. First, requirements of vision processors for driver assistance systems are summarized. Next, the characteristics of vision tasks for safety are described. Then several in-vehicle vision processor LSI implementations are reviewed, and the design approach of one of them, the IMAPCAR highly parallel processor, is further described in detail. Finally, future trends of in-vehicle vision processors focusing on their architectures and application coverage expansion such as integration of vision for safety, Digital TV codec, and 3D graphics functions of future car navigation, are discussed.