Sensor Data Fusion of Lidar and Camera for Road User Detection

Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which detect target objects in the images. Although image-based detectors can provide a rather accurate 2D position of the object in the image, it is necessary to get the accurate...

Weather Condition Estimation in Automated Vehicles

This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle camera, a machine learning and computer vision framework is employed to estimate the current weather condition in realtime and in-vehicle. The use of different...

Constructing a region of interest using map information for object tracking in autonomous vehicles

The Delft University of Technology intends to aid in the development of autonomous vehicles by building their own experiment platform in the DAVI project. To be able to make valid decisions, an autonomous vehicle needs to know its surroundings. Many sensors are used to detect any objects within range, but the sensor information has to be...