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Mapping Observed physical automobile with its ID through distance measurements

IP.com Disclosure Number: IPCOM000180114D
Original Publication Date: 2009-Mar-04
Included in the Prior Art Database: 2009-Mar-04
Document File: 3 page(s) / 63K

Publishing Venue

IBM

Abstract

Disclosed is a capability for mapping observed physical vehicles with their respective IDs through distance measurements. Proximity sensors would be used by a transmitting vehicle which broadcasts the distances to all vehicles around it and receiving vehicles which measures distances to all vehicles around it. A general algorithm is proposed to match the data produced by these two methods which outputs a view that contains both location information and ID information of all neighboring vehicles. A specific algorithm is provided to demonstrate how this method can be implemented in a limited scenario.

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Mapping Observed physical automobile with its ID through distance measurements

Disclosed is a system and method to help a car create, from packets of vehicle IDs and proximity measures that it receives, a mapping between physical observed cars and their identification numbers.

    According to Wikipedia, "A Vehicular Ad-Hoc Network, or VANET, is a form of mobile ad-hoc network, to provide communications among nearby vehicles and between vehicles and nearby fixed equipment". VANET is an emerging field inside the automobile industry.

    Road sign alarms, automatic payment of parking lots, multimedia, internet communication services and toll collection are examples of possibilities within VANET.

This disclosure concentrates on the field of car to car communication. This allows such services as collision warning, proximity warning. bypassing requests etc. Such car to car applications have an extra challenge: tagging cars in a driving cars proximity.

    For example: given a scenario of 3 cars driving in a straight line, with ids 1,2, and 3 respectively. Suppose car #2 receives a message that a neighboring car is about to press the breaks. Car #2 needs to know if the transmitting car is #1 or #3. In the first case the driver will want to press the breaks, but such an action may be dangerous in the case that the transmitting car is car #3. It is assumed that the cars are already fitted with transmitters which broadcast their IDs (be it a license plate number or a vehicle/engine number) to all other cars in their close vicinity. This is necessary, but is not sufficient for the task at hand since it does not contain enough information.

    The essence of this disclosure is a system and method to help a car create, from packets of vehicle IDs and proximity measures that it receives, a mapping between physical observed cars and their id #s.

Proximity sensors would be used in two ways:
1. The transmitting vehicle broadcasts the distances to all vehicles around it.
2. The receiving vehicle measures distances to all vehicles around it.

A general algorithm is proposed to match the data produced by these two methods. Its output is a complete view that contains both location information and ID information. A specific algorithm is provided to demonstrate how this method can be implemented in a limited scenario. The same line of thought can be applied to a more general case.

Proximity measurements would be taken in order to create a mapping between observed vehicles and their id #s. Each vehicle would transmit the distance between itself and the vehicle behind it / in front of it, frequently. These data packets would be transmitted to all vehicles within a short range of the transmitter. The receiving vehicle will keep a log of its proximity measurements with respect to an observed physical vehicle. Each transmitted vehicles' data is correlated with the proximity data held by the receiver. Once a strong correlation is identi...