This paper presents a review of the various control strategies that have been conducted to
address and resolve several challenges for a particular category of unmanned aerial …

In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …

Proactive lane-changing (LC) risk prediction can assist driver's LC decision-making to
ensure driving safety. However, most previous studies on LC risk prediction did not consider …

Lane change intention prediction is an essential component for motion planning of
Autonomous Vehicles (AVs). In this work, we aim to achieve this task by using Long-Short …

Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …

The combination of multimodal interactions, dynamic congestion and lane changing
phenomena in an urban environment can have a strong impact on traffic flow dynamics …

Predicting lane-changing behaviour is an integral part of lane-changing decision models
and has a significant impact on both traffic flow characteristics and traffic safety. A variety of …

Accurately detecting and predicting Lane Change (LC) processes of human-driven vehicles
can help autonomous vehicles better understand their surrounding environment, recognize …

With the development of technology, vehicle trajectory prediction and safety decision
technology has become an important part of active safety technology. Among them, the …