|
Ultra fast cnn based Hardware Computing Platform Concepts for adas visual Sensors and Evolutionary Mobile RobotsBog'liq Alireza FasihSafety and Convenience Based on All-around Sensing.
Journal of Intelligent and
Robotic Systems, 2008. 51(3): p. 261-287.
42.
Saad, J., A. Baghdadi, and F. Bodereau.
Fpga-based radar signal processing for
automotive driver assistance system
: IEEE.
43.
Wada, M., K.S. Yoon, and H. Hashimoto,
Development of advanced parking assistance
system.
Industrial Electronics, IEEE Transactions on, 2003. 50(1): p. 4-17.
44.
Wu, B.F., et al.,
A DSP-based lane departure warning system.
Proc. of the 8th WSEAS
Int. Conf. on Mathematical Methods and Computational Techniques in Electrical
Engineering, 2006: p. 240-245.
45.
Arth, C., F. Limberger, and H. Bischof,
Real-time license plate recognition on an
embedded DSP-platform.
2007: p. 1-8.
46.
Vitabile, S., S. Bono, and F. Sorbello.
An embedded real-time automatic lane-keeping
system
. 2007: Springer-Verlag.
47.
Doshi, A. and M. Trivedi,
LACASA: A Layered Architecture for Cooperative Active
Safety Applications.
48.
Azman, A., et al.
Optimizing resources of an fpga-based smart camera architecture
.
2007: IEEE Computer Society.
49.
Batlle, J., et al.,
A new FPGA/DSP-based parallel architecture for real-time image
processing.
Real-Time Imaging, 2002. 8(5): p. 345-356.
50.
Martínez-Alvarez, J., et al.,
High Performance Implementation of an FPGA-Based
Sequential DT-CNN.
Nature Inspired Problem-Solving Methods in Knowledge
Engineering, 2007: p. 1-9.
51.
Rudolph, L. and Z. Segall,
Dynamic decentralized cache schemes for MIMD parallel
processors.
ACM SIGARCH Computer Architecture News, 1984. 12(3): p. 340-347.
52.
Greco, J.,
Parallel Image Processing and Computer Vision Architecture
. 2005,
Citeseer.
53.
Risack, R., N. Mohler, and W. Enkelmann,
A video-based lane keeping assistant.
2000:
p. 356-361.
54.
VanderWerf, J., et al.,
Modeling effects of driver control assistance systems on traffic.
Transportation Research Record: Journal of the Transportation Research Board,
2001. 1748(-1): p. 167-174.
55.
Naab, K. and G. Reichart,
Driver assistance systems for lateral and longitudinal
vehicle guidance-heading control and active cruise support.
JSAE Review, 1995.
16(2): p. 220-220.
56.
McCall, J.C. and M.M. Trivedi,
Video-based lane estimation and tracking for driver
assistance: survey, system, and evaluation.
Intelligent Transportation Systems, IEEE
Transactions on, 2006. 7(1): p. 20-37.
57.
Chavda, J., et al.
Performance Measure of Image Processing Algorithms on DSP
Processor & FPGA Based Coprocessor
: IEEE Computer Society.
58.
Chapman, B., G. Jost, and R. Van Der Pas,
Using OpenMP: portable shared memory
parallel programming
. Vol. 10. 2007: The MIT Press.
59.
Hwang,
K.,
Advanced
computer
architecture:
parallelism,
scalability,
programmability
. Vol. 348. 1993: McGraw-Hill.
60.
Hager, G. and G. Wellein,
Introduction to High Performance Computing for Scientists
and Engineers
, CRC Press.
61.
Dowd, K.,
High performance computing
. 1993: O'Reilly & Associates, Inc.
|
| |
