[PDF][PDF] A review on intelligent road and its related key technologies

Z Xu, J Li, X Zhao, L Li, Z Wang, X Tong… - China J. Highw …, 2019 - researchgate.net
Based on the technical framework of automated highway systems (AHSs), the influence of
different driving factors such as primary application, communications technology, green …

Sensor networks and cooperative control

CG Cassandras, W Li - European Journal of Control, 2005 - Elsevier
This paper provides a tutorial-style overview of sensor networks from a systems and control
theory perspective. We identify key sensor network design and operational control problems …

A probabilistic approach to optimal robust path planning with obstacles

L Blackmore, H Li, B Williams - 2006 American Control …, 2006 - ieeexplore.ieee.org
Autonomous vehicles need to plan trajectories to a specified goal that avoid obstacles.
Previous approaches that used a constrained optimization approach to solve for finite …

Flight formation of UAVs in presence of moving obstacles using fast-dynamic mixed integer linear programming

M Radmanesh, M Kumar - Aerospace Science and Technology, 2016 - Elsevier
This paper proposes the implementation of fast-dynamic Mixed Integer Linear Programming
(MILP) and Path Smoother for efficient path planning of Unmanned Aerial Vehicles (UAVs) …

Multi-Vehicle Collaborative Planning Technology under Automatic Driving

S Rong, R Meng, J Guo, P Cui, Z Qiao - Sustainability, 2024 - mdpi.com
Autonomous vehicles hold the potential to significantly improve traffic efficiency and
advance the development of intelligent transportation systems. With the progression of …

A scalable framework for real-time multi-robot, multi-human collision avoidance

A Bajcsy, SL Herbert, D Fridovich-Keil… - … on robotics and …, 2019 - ieeexplore.ieee.org
Robust motion planning is a well-studied problem in the robotics literature, yet current
algorithms struggle to operate scalably and safely in the presence of other moving agents …

Grey wolf optimization based sense and avoid algorithm in a Bayesian framework for multiple UAV path planning in an uncertain environment

M Radmanesh, M Kumar, M Sarim - Aerospace Science and Technology, 2018 - Elsevier
Abstract Unmanned Air Vehicles (UAVs), which have been popular in the military context,
have recently attracted attention of many researchers because of their potential civilian …

Path planning of unmanned aerial vehicles using B-splines and particle swarm optimization

JL Foo, J Knutzon, V Kalivarapu, J Oliver… - Journal of aerospace …, 2009 - arc.aiaa.org
MILITARY combat of the future will become highly dependent on the use of unmanned aerial
vehicles (UAVs). In recent years, there has been rapid development in UAV technology such …

Information consensus in distributed multiple vehicle coordinated control

RW Beard, V Stepanyan - … on Decision and Control (IEEE Cat …, 2003 - ieeexplore.ieee.org
Cooperation in multiple vehicle teams requires information to be shared between team
members. If shared information is not synchronized across the team, then cooperation is …

Information patterns and hedging Brockett's theorem in controlling vehicle formations

J Baillieul, A Suri - … Conference on Decision and Control (IEEE …, 2003 - ieeexplore.ieee.org
Efforts to apply computer vision and various optical and acoustic proximity sensors for
distributed/coordinated motion control of a small group of autonomous vehicles has led us to …