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 …

Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …

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

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 …

In this manuscript, we introduce a real-time motion planning system based on the Baidu
Apollo (open source) autonomous driving platform. The developed system aims to address …

This paper presents a hierarchical motion planning approach based on discrete optimization
method. Well-coupled longitudinal and lateral planning strategies with adaptability features …

This paper introduces an efficient motion planning method for on-road driving of the
autonomous vehicles, which is based on the rapidly exploring random tree (RRT) algorithm …

On-road motion planning for autonomous vehicles is in general a challenging problem. Past
efforts have proposed solutions for urban and highway environments individually. We …

A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …