MARVEL: Multiple Antenna based Relative Vehicle Localizer

Speaker: Prasun Sinha , Ohio State University

Date: Monday, October 21, 2013

Time: 4:00 PM to 5:00 PM Note: all times are in the Eastern Time Zone

Refreshments: 3:45 PM

Public: Yes

Location: 32-D463 Star Conference Room

Event Type:

Room Description:

Host: Dina Katabi, Wireless@MIT

Contact: Mary McDavitt, 617-253-9620,

Relevant URL:

Speaker URL: None

Speaker Photo:


Reminder Subject: TALK: MARVEL: Multiple Antenna based Relative Vehicle Localizer

MARVEL: Multiple Antenna based Relative Vehicle Localizer

Access to relative location of nearby vehicles on the local roads
or on the freeways is useful for providing critical alerts to the
drivers, thereby enhancing their driving experience as well as
reducing the chances of accidents. The problem of determining the
relative location of two vehicles can be broken into two smaller
subproblems: (i) Relative lane localization, where a vehicle
determines if the other vehicle is in left lane, same lane or right
lane with respect to it, and (ii) Relative front-rear localization
where it needs to be determined which of the two vehicles is ahead
of the other on the road. In this paper, we propose a novel antenna
diversity based solution, MARVEL, that solves the two problems of
determining the relative location of two vehicles. MARVEL has two
components: (i) a smartphone; and (ii) four wireless radios. Unlike
exisiting technologies, MARVEL can also determine relative location
of vehicles that are not in the immediate neighborhood, thereby providing
the driver with more time to react. Further, due to minimal hardware
requirements, the deployment cost of MARVEL is low and it can be
easily installed on newer as well as existing vehicles. Using results
from our real driving tests, we show that MARVEL is able to determine
the relative lane location of two vehicles with 96.8% accuracy. Through
trace-driven simulations, we also show that by aggregating information
across different vehicles, MARVEL is able to increase the localization
accuracy to 98%. I will also talk about some other problems related to
vehicular communications and networking that we are currently working on.

Prasun Sinha is an Associate Professor in the Department of Computer
Science and Engineering at Ohio State University. His interests are in
the area of vehicular communication and wireless networks. Prior to
joining OSU he worked at Bell Labs, New Jersey. He holds a PhD from
UIUC (2001), MS from Michigan State University (1997) and BTech from
IIT Delhi (1995), all in Computer Science and Engineering. He won the Lumley
Research Award at OSU in 2009 and the NSF CAREER award in 2006. During
his graduate studies he won the Ray Ozzie Fellowship (UIUC, 2000),
the Mavis Memorial Scholarship (UIUC, 1999), and the Distinguished
Academic Achievement Award (MSU, 1997).

Research Areas:

Impact Areas:

See other events that are part of the Wireless@MIT Seminar Series 2013/2014.

Created by Mary McDavitt Email at Wednesday, October 16, 2013 at 7:57 AM.