This project will develop to sense the location and material of obstacles in the vicinity of autonomous vehicles in both indoor and outdoor settings. Students will program commodity wireless radios on autonomous vehicles (WiFi cards, DSRC radios, software radios, etc) to emulate wide-bandwidth antenna arrays that can sense the environment. They will then build algorithms that discover properties of objects of interest (e.g. their material, shape and size) by studying signals reflected off them. The end-to-end goal is a system that can improve existing sensors on autonomous car by expanding their field of view beyond line-of-sight. The system will be fully validated indoors and outdoors on robotic and vehicular platforms. A solid programming background and good mathematical background is required. The student will work closely with two Ph.D. students from our lab.