Situational awareness based on the data collected by the vehicle perception sensors (ie
LiDAR, RADAR, camera and ultrasonic sensors) is key for achieving assisted and …

Video compression in automated vehicles and advanced driving assistance systems is of
utmost importance to deal with the challenge of transmitting and processing the vast amount …

The perception and prediction of the surrounding vehicles' trajectories play a significant role
in designing safe and optimal control strategies for connected and automated vehicles. The …

Vehicular infotainment systems have attracted great interests from both academia and
industry. A vehicular infotainment system includes two parts: 1) the information part and 2) …

Deep neural object detection or segmentation networks are commonly trained with pristine,
uncompressed data. However, in practical applications the input images are usually …

Model compression techniques allow to significantly reduce the computational cost
associated with data processing by deep neural networks with only a minor decrease in …

Environmental perception is a key element of autonomous driving because the information
received from the perception module influences core driving decisions. An outstanding …

In recent years, there is a growing interest in advanced driver assistance systems, which can
reduce the risk of accidents on various roads. Many vehicular technologies use camera …

One key advantage of compressive sensing is that only a small amount of the raw video data
is transmitted or saved. This is extremely important in bandwidth constrained applications …

A system has been developed to realize autonomous driving (AD) with Convolutional Neural
Networks (CNNs). To apply CNNs to AD, the amount of calculations must be compressed …