In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet
challenging task. The conventional approaches for the lane marker detection problem …

With the development of intelligent driving technology, human-machine cooperative driving
is significant to improve driving safety in abnormal situations, such as distraction or incorrect …

The pervasive use of cameras at indoor and outdoor premises on account of recording the
activities has resulted into deluge of long video data. Such surveillance videos are …

Accurate detection of road obstacles is vital for ensuring safe autonomous driving,
particularly on highways. However, existing methods tend to perform poorly when analyzing …

Object detection in road scenes is necessary to develop both autonomous vehicles and
driving assistance systems. Even if deep neural networks for recognition task have shown …

Autonomous vehicles: a review of the ethical, social and economic implications of the AI
revolution | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

AI-based lane detection algorithms were actively studied over the last few years. Many have
demonstrated superior performance compared with traditional feature-based methods …

Small objects on the road can become hazardous obstacles when driving at high speed.
Detecting such obstacles is vital to guaranty the safety of self-driving car users, especially on …

Autonomous driving, as a pivotal technology in modern transportation, is progressively
transforming the modalities of human mobility. In this domain, vehicle detection is a …

Research summary: This article proposes an approach for modeling competitive interactions
that incorporates the costs to firms of changing strategy. The costs associated with strategy …