Planning is one of the key problems for autonomous vehicles operating in road scenarios.
Present planning algorithms operate with the assumption that traffic is organised in …

The planning of semi-autonomous vehicles in traffic scenarios is a relatively new problem
that contributes towards the goal of making road travel by vehicles free of human drivers. An …

Planning of autonomous vehicles in the absence of speed lanes is a less-researched
problem. However, it is an important step toward extending the possibility of autonomous …

Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals
with the technology of autonomous vehicles, with a special focus on the navigation and …

The vision of autonomous driving is piecewise becoming reality. Still the problem of
executing the driving task in a safe and comfortable way in all possible environments, for …

Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …

Efficient trajectory planning of autonomous vehicles in complex traffic scenarios is of interest
both academically and in automotive industry. Time efficiency and safety are of key …

Autonomous driving in urban environments depends on the ability to interpret the current
situation and to react accordingly. This means to continuously make decisions for certain …