Road traffic safety has attracted increasing research attention, in particular in the current
transition from human-driven vehicles to autonomous vehicles. Surrogate measures of …

In order to ensure reliable autonomous driving, the system must be able to detect future
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …

Situation understanding and interpretation are one of the essential features for automated
vehicles. To enable safe and comfortable driving, sensing the current situation is not …

Accurate maneuver prediction for surrounding vehicles enables intelligent vehicles to make
safe and socially compliant decisions in advance, thus improving the safety and comfort of …

Automated vehicles and advanced driver-assistance systems require an accurate prediction
of future traffic scene states. The tendency in recent years has been to use deep learning …

Safety is the cornerstone for Advanced Driver Assistance Systems (ADAS) and Autonomous
Driving Systems (ADS). To assess the safety of a traffic situation, it is essential to predict …

Accurate trajectory prediction of surrounding vehicles is vital for automated vehicles to
achieve high-level driving safety in complex situations. However, most state-of-the-art …

The lane-changing maneuvers are challenging and contributes to traffic accidents and
crashes. They are complicated task that often lead to an increased risk of vehicle collisions …

For driving safely and comfortably, the long-term trajectory prediction of surrounding
vehicles is essential for autonomous vehicles. For handling the uncertain nature of trajectory …

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …