TY - JOUR
T1 - The embedded driving-assistance system on taiwan iTS-1
AU - Wu, Bing Fei
AU - Chiang, Hsin Han
AU - Lee, Tsu Tian
AU - Perng, Jau Woei
PY - 2008
Y1 - 2008
N2 - Vehicle automation is an important research topic of advanced vehicle systems (AVS). Taiwan iTS-1 is the first smart car with autonomous driving in Taiwan. In this paper, an embedded driving-assistance system is presented. The definition of hierarchical-control structure is necessary in the system to deal with sensorial inputs and environmental and procedural knowledge to manage vehicle actuators in order to accomplish various driving tasks. Upper-level control perceives road environment and determines the proper and safe operation modes including lane-keeping, lane-change, cruise control, adaptive cruise control, and stop-and-go. In each mode, the desired-velocity and reference-trajectory are primarily determined, and then are forwarded to vehicle-body control. To incorporate well driver behavior into our system, vehicle-body control utilizes the fuzzy control technique to manage the fundamental actuators of vehicle, steering wheel, throttle, and brake, to adapt to the desired command (velocity and trajectory). The core controller is built-in on a DSP-based embedded computing platform. The aim of our system is to provide the driving-assistance in the same way human drivers do.
AB - Vehicle automation is an important research topic of advanced vehicle systems (AVS). Taiwan iTS-1 is the first smart car with autonomous driving in Taiwan. In this paper, an embedded driving-assistance system is presented. The definition of hierarchical-control structure is necessary in the system to deal with sensorial inputs and environmental and procedural knowledge to manage vehicle actuators in order to accomplish various driving tasks. Upper-level control perceives road environment and determines the proper and safe operation modes including lane-keeping, lane-change, cruise control, adaptive cruise control, and stop-and-go. In each mode, the desired-velocity and reference-trajectory are primarily determined, and then are forwarded to vehicle-body control. To incorporate well driver behavior into our system, vehicle-body control utilizes the fuzzy control technique to manage the fundamental actuators of vehicle, steering wheel, throttle, and brake, to adapt to the desired command (velocity and trajectory). The core controller is built-in on a DSP-based embedded computing platform. The aim of our system is to provide the driving-assistance in the same way human drivers do.
KW - Automotive
KW - Driving-assitance
KW - Embedded system
KW - Intelligent transportation systems (ITS)
KW - Vehicle automation
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U2 - 10.1109/ICSMC.2008.4811820
DO - 10.1109/ICSMC.2008.4811820
M3 - Conference article
AN - SCOPUS:69949182107
SN - 1062-922X
SP - 3382
EP - 3387
JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
M1 - 4811820
T2 - 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008
Y2 - 12 October 2008 through 15 October 2008
ER -