We present MM-AU a novel dataset for Multi-Modal Accident video Understanding. MM-AU
contains 11727 in-the-wild ego-view accident videos each with temporally aligned text …

The autonomous vehicle, as an emerging and rapidly growing field, has received extensive
attention for its futuristic driving experiences. Although the fast developing depth sensors …

Traffic accident anticipation aims to accurately and promptly predict the occurrence of a
future accident from dashcam videos, which is vital for a safety-guaranteed self-driving …

Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

The safe deployment of autonomous vehicles (AV s) in real world scenarios requires that AV
s are accountable. One way of ensuring accountability is through the provision of …

Recognizing potentially hazardous objects is crucial in the field of transportation, especially
in assisted and unmanned driving. However, most existing studies do not focus on defensive …

Lane detection is necessary for developing intelligent Autonomous Vehicles (AVs). Using
vision-based lane detection is more cost-effective, requiring less operational power. Images …

Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …

Artificial Intelligence (AI) shows promising applications for the perception and planning tasks
in autonomous driving (AD) due to its superior performance compared to conventional …

The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …