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Visual tracking plays an important role in computer vision and has received fast-growth attention in recent years due to its wide practical application such as pedestrian detection, vehicle navigation, security surveillance, and wireless communication [1 4].
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Visual object tracking is a fundamental part in many video-based systems such as vehicle navigation, traffic monitoring, human-computer interaction, motion-based recognition, security and surveillance, etc.
Most notably, digital image processing has been widely deployed for defense and security applications such as small target detection and tracking, missile guidance, vehicle navigation, wide area surveillance, and automatic/aided target recognition.
Using satellite communication signals, onboard microcomputers can provide more accurate vehicle navigation and collision-avoidance systems.
Excluding that use, he estimates that nearly half of all G.P.S. units used by consumers are in vehicle navigation systems.
We refer to this as vehicle navigation.
As you arrive, your vehicle navigation system guides you to that reserved charge spot.
For instance, in [18 21], road maps are used in different systems for different applications like vehicle navigation, pedestrian navigation with mobile devices, vehicles in parking garages, etc.
Autonomous vehicle navigation becomes an important in various applications of motion path planning, localization task.
In the meantime, we have the capability to enforce a vehicle navigation plan on the AVs.
In the present paper, we investigate vehicle navigation using a Radio Frequency Identification (RF-ID) system.
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