This paper presents motion planning and control algo-rithm for urban automated driving
using highdefinition (HD) map. Many automakers have developed and commercialized …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

In this paper, a new approach for lane change and double-lane change planning and
following for autonomous driving is proposed. Herein, we introduce a novel technique …

The evolving autonomous driving technology has been attracting significant research efforts
in both academia and industry because of its promising potentials. Eliminating the human …

This paper presents a methodology of lane change motion planning based on spatio-
temporal corridor for autonomous driving in multi-vehicle traffic environments. The spatio …

With the aims of safe, smart and sustainable future mobility, a personalized approach of
trajectory planning and control based on user preferences is developed for lane-change of …

This paper suggests a car-following algorithm for urban environment, with multiple target
candidates. Until now, advanced driver assistant systems (ADASs) and self-driving …

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 …

Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …

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 …