4 accepted papers
Low-cost millimeter wavelength automotive radar can work effectively under low visibility or low reflection conditions caused by lighting, weather, pollution, or object surface properties when a camera or a lidar may fail. It can serve as a fallback solution to improve safety in autonomous driving.
A low-cost automotive radar is often used in autonomous driving and advanced driver-assistance systems. However, the low cost radar often assumes all detected objects to be on the ground plane when estimating radar/vehicle ego-velocity, but when there are elevated background objects present, such as
Autonomous vehicles often rely on high-definition (HD) maps to navigate around. However, lane markings (LMs) are not necessarily static objects due to wear & tear from usage and road reconstruction & maintenance. Therefore, the wrong matching between LMs in the HD map and sensor readings may lead to…
We report system and algorithmic development for a sensing suite comprising multiple sensors for both surface and subsurface transportation infrastructure inspection focusing on multi-modal mapping for inspection. The sensing suite contains a camera, a ground penetrating radar (GPR), and a wheel enc…