Raja Sengupta

Research Expertise and Interest

transportation, wireless communications, inertial navigation for vehicle systems

Research Description

Current Research Projects

Sensor networks for forest fire monitoring: The objective of this project is to distribute small sensors in the wild that detect the onset of fires through measurements of temperature, pressure, or humidity. I am working on the sensor positioning and localization aspect.

Neighborhood Mapping: Vehicle Neighborhood Map, developed in University of California PATH, is an in-vehicle sensing and communication system which allows a vehicle to learn its neighborhood. Vehicles exchange their location information among themselves over 802.11a wireless network in Ad-hoc mode. In-Vehicle safety applications (e.g. gap assistance, forward collision warnings) can base on this information to assist drivers for potential conflicts.

Each vehicle is equipped with GPS receiver and 802.11a wireless radio, and our software system . The software system consists of a GPS Broadcaster and a Neighborhood Map Builder. GPS Broadcaster broadcasts vehicle’s position onto 802.11a wireless network when it receives a new measurement from the GPS receiver . Neighborhood Map Builder listens to the wireless channel, and uses the Geo-cast protocol to filter out any messages which are outside of its neighborhood. Higher layer applications take these messages and transform them into vehicle’s body fixed coordinate frame. After the information is processed, in-vehicle display delivers it to the user.

Vision-Based Navigation: Our fundamental research thrust is to make unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) capable of self-directed collaborative navigation.

We work toward a world where teams of unmanned vehicles will make possible what once was not. Whether aiding in firefighting, border patrol, search and rescue, convoy protection, remote environmental monitoring, or traffic radio reports, many aspects of commercial and structural life will be enhanced by the incorporation of autonomous collaborative vehicles. ,

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