Albert Huang

Albert Huang- Lane Estimation for Autonomous Vehicles using Vision and LIDAR
Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and efficiently in real-world conditions. A system that is able to quickly and reliably estimate the roadway and its lanes based upon local sensor data would be a valuable asset both to fully autonomous vehicles as well as driver assistance systems. To be most useful, it must accommodate a variety of roadways, environments with a range of weather and lighting conditions, and highly dynamic scenes with other vehicles and moving objects. Lane estimation can be modeled as a curve estimation problem, where sensor data provides partial and noisy observations of curves.