TY  - JOUR
PY  - 2008//
TI  - A hybrid architecture for intelligent vehicle navigation by selecting activities
JO  - International journal of vehicle information and communication systems
A1  - Li, Jin
A1  - Chen, Wuwei
A1  - Wang, Tanbin
A1  - Li, Bichu
SP  - 195
EP  - 207
VL  - 1
IS  - 3/4
N2  - An intelligent vehicle must have a proper architecture in order to work autonomously in a complicated and dynamic environment. After considering the advantages and disadvantages of the typical architecture, a hybrid architecture for intelligent vehicle navigation is presented. This architecture uses a blackboard to coordinate interactions between modules, and classifies the activities of the intelligent vehicle into reflecting activity and voluntary activity. The reflecting activity is activated by data and the voluntary activity is selected by the blackboard. The navigation task is accomplished by selecting proper activities to control the vehicle according to the environmental condition and the status of the vehicle. The theoretical analyses, simulation and experiment results show that this architecture has good intelligence and reactivity.<p /> 
LA  - 
SN  - 1471-0242
UR  - http://dx.doi.org/10.1504/IJVICS.2008.022354
ID  - ref1
ER  -