Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Automatic traffic accidents detection has appealed to the machine vision community due to
its implications on the development of autonomous intelligent transportation systems (ITS) …

In urban cities, visual information on and along roadways is likely to distract drivers and lead
to missing traffic signs and other accident-prone (AP) features. To avoid accidents due to …

Reducing traffic fatal crashes has been an important mission of transportation. With the rapid
development of sensor and Artificial Intelligence (AI) technologies, the computer vision (CV) …

Anticipation of accidents ahead of time in autonomous and non-autonomous vehicles aids in
accident avoidance. In order to recognize abnormal events such as traffic accidents in a …

The rapid advancement of sensor technologies and artificial intelligence are creating new
opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been …

Automatic detection of traffic accidents is an important emerging topic in traffic monitoring
systems. Nowadays many urban intersections are equipped with surveillance cameras …

Identifying traffic accidents in driving videos is crucial to ensuring the safety of autonomous
driving and driver assistance systems. To address the potential danger caused by the long …

Crash detection is of great significance for traffic emergency management. Video-based
approaches can effectively save the manpower monitoring cost and have achieved …

Road accidents are often caused by short abnormal events, including traffic violations,
abrupt change in vehicular motion, driver fatigue, etc. Observing an accident event from the …