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Team #25 MAVERICK
DARPA Urban Challenge Team #25 on my list was called Magnolia, but is now called MAVERICK. Their vehicle is also named MAVERICK (Magnolia Autonomous Vehicle and Robot Interface Control Kit).
Team Maverick is the usual assortment of six people that it takes to make a workable team - a neurologist, a RobotWars veteran, a JPL computer consultant, a software engineer, an automation engineer, and a car mechanic.
While team Maverick was not awarded one of the eleven one million dollar development grants nor was it selected as one of the 36 semi-finalists in the DARPA Urban Challenge, but that does not matter because their goal is to make their fortune by building a mass producible driverless vehicle for use by the US armed forces and the general public.
Their design so far relies heavily on on computer vision. Two forward looking cameras provided stereo vision, a rear looking camera and two side looking cameras complete the 360 degree vision coverage of the area around the vehicle. The images are processed using Intel® Open Source Computer Vision Library.
RADAR and LIDAR are also part of the sensor mix along with GPS and inertial measurements. Sensor ranges go out roughly to 100 feet.
The software architecture is illustrated in this diagram taken from the teams web page. A lot of interesting new terms show up in these diagrams that each of the teams produce for their required technical paper. This one is no exception - most of the terms are modeled after how a human is believed to process sensor data and control a vehicle on the road.
Team #25 MAVERICK
August 29, 2007
DARPA Urban Challenge Team #25 on my list was called Magnolia, but is now called MAVERICK. Their vehicle is also named MAVERICK (Magnolia Autonomous Vehicle and Robot Interface Control Kit). Team Maverick is the usual assortment of six people that it takes to make a workable team - a neurologist, a RobotWars veteran, a JPL computer consultant, a software engineer, an automation engineer, and a car mechanic.
While team Maverick was not awarded one of the eleven one million dollar development grants nor was it selected as one of the 36 semi-finalists in the DARPA Urban Challenge, but that does not matter because their goal is to make their fortune by building a mass producible driverless vehicle for use by the US armed forces and the general public.
Their design so far relies heavily on on computer vision. Two forward looking cameras provided stereo vision, a rear looking camera and two side looking cameras complete the 360 degree vision coverage of the area around the vehicle. The images are processed using Intel® Open Source Computer Vision Library.
RADAR and LIDAR are also part of the sensor mix along with GPS and inertial measurements. Sensor ranges go out roughly to 100 feet.
The software architecture is illustrated in this diagram taken from the teams web page. A lot of interesting new terms show up in these diagrams that each of the teams produce for their required technical paper. This one is no exception - most of the terms are modeled after how a human is believed to process sensor data and control a vehicle on the road.
Posted by Paul Grayson on August 29, 2007 | Comments (0)
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