The VISTA Project and Its Applications

IEEE Intelligent Systems

Volumn 17, Issue 6, 2002, Pages 72-75

  Wang, Fei Yue ^a   Mirchandani, Pitu B ^a   Wang, Zhixue ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILES; BAR CODES; CALIBRATION; CONTROL SYSTEMS; FUZZY CONTROL; GLOBAL POSITIONING SYSTEM; LASER APPLICATIONS; MOTION PLANNING; SENSORS;

FUZZY RULES; INERTIAL MEASUREMENT UNIT; LASER READER;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 0141837102     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2002.1134364     Document Type: Article

References (8)

1. S. Kuppuswamy and P.B. Mirchandani, Systems Analysis of Tucson-Phoenix Intelligent Lanes, report FHWA-AZ00-461, Ariz. Dept. of Transportation, Phoenix, Ariz., 2001.
2. D.W. Bruggeman, Concept Study: Intelligent Express Lanes I-10, Phoenix to Tucson, tech. report, Ariz. Dept. of Transportation, Phoenix, Ariz., Dec. 1997.
3. F.-Y. Wang, P.B. Mirchandani, and Y.C. Kuo, “Vehicles with Intelligent Systems for TransportAutomation: VISTA Report,” report FHWA-AZ00-462, Ariz. Dept. of Transportation, Phoenix, Ariz., 2001.
4. S. Sheikholeslam et al., “Automated Vehicle Control Developments in the PATH Program,” IEEE Trans. Vehicular Technology, vol. 40, no. 1, Feb. 1991, pp. 114-130.
5. F.-Y. Wang and P.J.A. Lever, “An Intelligent Robotic Vehicle for Lunar and Martian Resource Assessment,” Recent Trends in Mobile Robots, Y.F. Zheng, ed., World Scientific, Singapore, 1994, pp. 327-358.
6. F.-Y. Wang, Design of Test Driving Robots and Automated Vehicle Proving Grounds, IntelligentControl and Systems Eng. Center tech. report 0602, Inst. of Automation, Chinese Academy of Sciences, Beijing, 2002.
7. L. Li and F.-Y. Wang, “Vehicle Trajectory Generation for Optimal Driving Guidance,” Proc. IEEE Int'l Conf. Intelligent Transportation Systems, IEEE Press, Piscataway, N.J., 2002, pp. 156-172.
8. Y.T. Lin et al, “Implementing Adaptive Driving Systems for Intelligent Vehicles by Using Neuro-Networks,” J. Transportation Research Board, no. 1,774, Nov. 2001, pp. 106-115.