Perception system design is a vital step in the development of an autonomous vehicle (AV).
With the vast selection of available off-the-shelf schemes and seemingly endless options of …

Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …

The face, an important part of the body, conveys a lot of information. When a driver is in a
state of fatigue, the facial expressions, eg, the frequency of blinking and yawning, are …

This study presents an approach to lane detection involving the prediction of binary
segmentation masks and per-pixel affinity fields. These affinity fields, along with the binary …

This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Driving analysis is a recent topic of interest due to the growing safety concerns in vehicles.
However, the lack of publicly available driving data currently limits the progress on this field …

In order to formulate a high-level understanding of driver behavior from massive naturalistic
driving data, an effective approach is needed to automatically process or segregate data into …

This paper studies efficient means in dealing with intracategory diversity in object detection.
Strategies for occlusion and orientation handling are explored by learning an ensemble of …

Many real world pattern classification problems involve the process and analysis of multiple
variables in temporal domain. This type of problem is referred to as Multivariate Time Series …

Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …