Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …

Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …

Purpose-This study aims to evaluate the influence of connected and autonomous vehicle
(CAV) merging algorithms on the driver behavior of human-driven vehicles on the mainline …

To reduce the number of collision fatalities at crossroads intersections, many countries have
started replacing intersections with non-signalized roundabouts, forcing the drivers to be …

Driving through dense urban environments is difficult for autonomous vehicles because they
must reason about the unknown intentions of a large number of road users while also …

In order to achieve safe and high-quality decision-making and motion planning, autonomous
vehicles should be able to generate accurate probabilistic predictions for uncertain behavior …

Autonomous vehicles (AVs) need to interact with other traffic participants who can be either
cooperative or aggressive, attentive or inattentive. Such different characteristics can lead to …

Driving behaviour of surrounding vehicles have impacts on the security of ego vehicle.
However, many vehicles do not use the turn signal in advance as a warning when changing …

Motion planning involves decision making among combinatorial maneuver variants in urban
driving. A planner must consider uncertainties and associated risks of the maneuver …

In order for automated mobile vehicles to navigate in the real world with minimal collision
risks, it is necessary for their planning algorithms to consider uncertainties from …