Highly automated vehicles have the potential to provide a variety of benefits eg, decreasing
traffic injuries and fatalities while offering people the freedom to choose how to spend their …

Highly automated vehicles have the potential to provide a variety of benefits eg, decreasing
traffic injuries and fatalities by offering people the freedom to choose how to spend their time …

Automated driving is predicted to enhance traffic safety, transport efficiency, and driver
comfort. To extend the capability of current advanced driver assistance systems, and …

Increasing automation in automotive industry is an important contribution to overcome many
of the major societal challenges. However, testing and validating a highly autonomous …

Developing safe automated vehicles that can be proactive, safe, and comfortable in mixed
traffic requires improved planning methods that are risk-averse and that account for …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

This paper presents a hierarchical trajectory following framework for SAE-level 2/3 automatic
driving by convex optimisation, which aims for daily common driving manoeuvres with low …

This paper outlines a predictive maneuver-planning method for autonomous vehicle
navigating public highway traffic. The method integrates discrete maneuvering decisions, ie …

Motion planning algorithms for urban automated driving must handle uncertainty due to
unknown intention and future motion of Dynamic Obstacles (DOs). Considering a single …

Maneuver planning, which plays a key role in selecting desired lanes and speeds, is an
essential element of autonomous driving. Generally, for a vehicle driving on a multilane …