Category Archives: PAVE Team

IGVC Meeting!

PAVE will be holding an interest/planning meeting for the 2013 Intelligent Ground Vehicle Competition tomorrow (Wednesday, February 27), at 7:30pm in the Sherrerd Hall basement to go over plans for the semester.  We’ll be submitting a revamped Phobetor to the competition in early June, so between now and then code needs to be ported and improved, and the robot needs to be mechanically revived.  It should be an exciting project, and we invite any interested students on campus to come to our meeting tomorrow and find out more!

PAVE Weekly Roundup!

We’ve been so busy with build sessions and meticulous planning for our projects that we’ve hardly got time to update our website. Here’s a roundup of what we’ve been doing recently:

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Test fitting Prospect Twelve’s new roof rack. Photo by Derrick Yu

Prospect Twelve‘s hardware team have finished cutting and assembling 80/20 extruded aluminum pieces for the vehicle’s new roof rack. The redesign allows for much more efficient assembly and more flexible sensor mounting options.

The 2010 IGVC team has officially named PAVE‘s entry in the 2010 Intelligent Ground Vehicle Competition. Phobetor continues the tradition of naming our IGVC ‘bots after Greek deities. The team has also been working hard to machine parts for the vehicle’s drivetrain.

More pictures and details after the break Continue reading PAVE Weekly Roundup!

Great Progress on IGVC Today!

Last week we completed machining all of the chassis pieces for our 2010 IGVC ‘bot. Today we test fitted the pieces together to make sure the design didn’t need any adjustments. We discovered that some of the pieces needed some holes to be tapped, but otherwise, it went together like a charm and things are fitting just as our CAD model predicted. Photos of the construction process after the break. Continue reading Great Progress on IGVC Today!

Record Number of New Recruits to PAVE

We are proud to announce that we’ve broken the PAVE recruiting record with an all time high of over 50 new members. Although the increase coincides with the expanded enrollment of B.S.E. students at Princeton, several of our new members are Sophomores and Juniors, and many are from disciplines outside the engineering school. Continue reading Record Number of New Recruits to PAVE

PAVE at the 2009 Intelligent Ground Vehicle Competition

The Princeton IGVC team will be arriving in Rochester, Michigan on Thursday for the 17th annual IGVC. The competition begins tomorrow with the first round of design competitions. We will be making our design presentation on Saturday. Today, our team is enjoying a day at Cedar Point in Sandusky, Ohio, before completing the remaining two hours to the competition location. We’ll be updating the blog with plenty of photos and videos as the competition progresses. Check back soon!

PAVE at the 2009 NYC FIRST Regional Competition Career Expo

PAVE team members answer questions about their projects at the 2009 NYC FIRST Regional

PAVE was at the 2009 NYC FIRST Regional Competition from March 7 to March 8, 2009. This is the second year that we have been invited to exhibit at the competition’s career expo. This gave us a chance to show Prospect 12 and our build-in-progress robot for the 2009 IGVC to hundreds of middle- and high-school students from the greater New York City area. Team photo after the break. Continue reading PAVE at the 2009 NYC FIRST Regional Competition Career Expo

New Vision for the IGVC


The PAVE Vision team has begun gearing up for the 2009 IGVC. We will be continuing our stereo-vision approach to obstacle and lane detection, and this year we will be using a Videre Design STOC (Stereo On Chip) color stereo camera. This camera’s innovative design includes an onboard Xilinx Spartan 3 FPGA that can stream live disparity maps to the PC. This frees up resources on our computer for depth map analysis and all the other processes that control the robot.

The image above shows a sample frame from the camera. The source image is at the bottom-left, and the disparity map calculated onboard the camera is shown at the bottom-right. The center window shows the 3D reconstruction of the scene, with the source image mapped onto the point cloud reconstructed from the disparity map.

As the semester progresses, the Vision team will provide updates on the modifications we are making to improve our obstacle and lane detection systems. We look forward to demonstrating our single-sensor approach again at the competition, and hope to make our system even more successful than last year.