In order to safely and efficiently drive through the complex traffic scenarios, predicting the
trajectory of the forward vehicle accurately is important for intelligent vehicles. Accurate and …

Autonomous vehicles (AVs) are expected to dramatically redefine the future of traffic.
However, there are still plenty of challenges need to be figured out before L5 self-driving era …

Autonomous Vehicles are expected to change the future of worldwide transportation system.
As self-driving cars are facing a lot of engineering challenges, it is one of the hottest topics in …

The expectations regarding autonomous vehicles are very high to transform the future
mobility and ensure more road safety. Autonomous driving system should be able in the …

An accurate vehicle trajectory prediction promotes understanding of the traffic environment
and enables task criticality assessment in advanced driver assistance systems (ADASs) in …

Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not
only improves the planning of future routes, but also ensures vehicle safety. On the basis of …

Motion prediction is an essential feature for autonomous vehicle to understand the intention
of nearby vehicles so as to plan its route. Several works have been proposed to predict the …

In this paper, we propose a deep learning based vehicle trajectory prediction technique
which can generate the future trajectory sequence of surrounding vehicles in real time. We …

In order to drive safely and efficiently on public roads, autonomous vehicles will have to
understand the intentions of surrounding vehicles, and adapt their own behavior …

Integrating trajectory prediction to the decision-making and planning modules of modular
autonomous driving systems is expected to improve the safety and efficiency of self-driving …