Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
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 …
research because of its multi-faceted advantages that includes improved safety, reduced …
[HTML][HTML] Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges
Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
planning algorithms generate a path which has many sharp or angular turns. Such paths are …
An improved A-Star based path planning algorithm for autonomous land vehicles
S Erke, D Bin, N Yiming, Z Qi… - … Journal of Advanced …, 2020 - journals.sagepub.com
This article presents a novel path planning algorithm for autonomous land vehicles. There
are four main contributions: Firstly, an evaluation standard is introduced to measure the …
are four main contributions: Firstly, an evaluation standard is introduced to measure the …
Lookout: Diverse multi-future prediction and planning for self-driving
In this paper, we present LookOut, a novel autonomy system that perceives the environment,
predicts a diverse set of futures of how the scene might unroll and estimates the trajectory of …
predicts a diverse set of futures of how the scene might unroll and estimates the trajectory of …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Real-time trajectory planning for autonomous urban driving: Framework, algorithms, and verifications
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 …
driving in realistic urban environments. To solve the complex navigation problem, we adopt …
Lateral vehicle trajectory optimization using constrained linear time-varying MPC
B Gutjahr, L Gröll, M Werling - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
In this paper, a trajectory optimization algorithm is proposed, which formulates the lateral
vehicle guidance task along a reference curve as a constrained optimal control problem …
vehicle guidance task along a reference curve as a constrained optimal control problem …
Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles
This study proposes a novel integrated local trajectory planning and tracking control
(ILTPTC) framework for autonomous vehicles driving along a reference path with obstacles …
(ILTPTC) framework for autonomous vehicles driving along a reference path with obstacles …