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Smart cars in peace and war
被引:4
|作者:
Lewin, DI
机构:
[1] IEEE Intelligent Systems, Science & Engineering
来源:
关键词:
The spectrum of intelligent vehicles in development runs from adaptive cruise-control systems—now available in some luxury automobiles in Europe and Japan— to semiautonomous combat vehicles being funded in the US by the Defense Advanced Research Projects Agency (DARPA) and the Army. At this point in the evolution of robotic vehicles;
a human will always be involved —as the driver or as the remote operator of the vehicle’s activities. The difference is whether the human is needed to direct the vehicle minute to minute. The US Department of Transportation;
once a proponent of fully automated Intelli- gent Highway Systems;
has since refocused its efforts on driver assistance systems;
notes John Evans;
chief of the Intelligent Systems Division at the National Institute of Standards and Technology (NIST) in Gaithers-burg;
Maryland. Japanese researchers;
however;
are still working on development of the automated highway in the pure sense;
he says. For even the most intelligent of the robotic vehicles;
such as Nomad;
the autonomous vehicle that explores Antarctica in search of meteorites;
you would like to have a dialogue between the vehicle and the person [operating it;
says Chuck Thorpe;
acting director of the Robotics Institute at Carnegie Mellon University in Pittsburgh. Part of the interest in applying robotics to vehicles is to achieve fully automatic navigation;
but another part is to create an intelligent back-seat driver. This system would look over your shoulder while you are driving down the road;
serving as an extra set of eyes on the road;
Thorpe says. Although that’s not fully autonomous—there is still a person doing the driving—it turns out that this is a more challenging problem than complete autonomy;
he explains. Not only does the vehicle have to perform all the sensor cal- culations necessary for a fully automatic vehicle;
but the system must also contain a driver interface that gives the human good information without becoming a nagging back-seat driver;
Thorpe notes;
D O I:
10.1109/MIS.2001.940019
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
[No abstract available]
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页码:4 / 6
页数:3
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