Path Planning for Autonomous Vehicles - Ensuring Reliable Driverless Navigation and Control Maneuver

2019 ◽  
Keyword(s):  
Path Planning ◽  
Autonomous Vehicles ◽  
Navigation And Control ◽  
And Control

AUV path planning, navigation, and control using geophysical data

2019 ◽  
Author(s):  
J. Quintas ◽  
N. Hung ◽  
N. Crasta ◽  
F. Curado-Teixeira ◽  
P. Lima ◽  
...  
Keyword(s):  
Path Planning ◽  
Geophysical Data ◽  
Navigation And Control ◽  
And Control

scholarly journals Clothoid: An Integrated Hierarchical Framework for Autonomous Driving in a Dynamic Urban Environment

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5053 ◽  
Author(s):  
Saba Arshad ◽  
Muhammad Sualeh ◽  
Dohyeong Kim ◽  
Dinh Van Nam ◽  
Gon-Woo Kim
Keyword(s):  
Path Planning ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Unified Framework ◽  
Human Errors ◽  
Safe Driving ◽  
Planning And Control ◽  
Starting Point ◽  
And Control

In recent years, research and development of autonomous driving technology have gained much interest. Many autonomous driving frameworks have been developed in the past. However, building a safely operating fully functional autonomous driving framework is still a challenge. Several accidents have been occurred with autonomous vehicles, including Tesla and Volvo XC90, resulting in serious personal injuries and death. One of the major reasons is the increase in urbanization and mobility demands. The autonomous vehicle is expected to increase road safety while reducing road accidents that occur due to human errors. The accurate sensing of the environment and safe driving under various scenarios must be ensured to achieve the highest level of autonomy. This research presents Clothoid, a unified framework for fully autonomous vehicles, that integrates the modules of HD mapping, localization, environmental perception, path planning, and control while considering the safety, comfort, and scalability in the real traffic environment. The proposed framework enables obstacle avoidance, pedestrian safety, object detection, road blockage avoidance, path planning for single-lane and multi-lane routes, and safe driving of vehicles throughout the journey. The performance of each module has been validated in K-City under multiple scenarios where Clothoid has been driven safely from the starting point to the goal point. The vehicle was one of the top five to successfully finish the autonomous vehicle challenge (AVC) in the Hyundai AVC.

Obstacle Avoidance, Path Planning and Control for Autonomous Vehicles

2019 ◽  
Author(s):  
Hind Laghmara ◽  
Mohamed-Taha Boudali ◽  
Thomas Laurain ◽  
Jonathan Ledy ◽  
Rodolfo Orjuela ◽  
...  
Keyword(s):  
Path Planning ◽  
Obstacle Avoidance ◽  
Autonomous Vehicles ◽  
Planning And Control ◽  
And Control

scholarly journals Path planning and collision avoidance for autonomous surface vehicles I: a review

2021 ◽  
Author(s):  
Anete Vagale ◽  
Rachid Oucheikh ◽  
Robin T. Bye ◽  
Ottar L. Osen ◽  
Thor I. Fossen
Keyword(s):  
Path Planning ◽  
Collision Avoidance ◽  
Regulatory Framework ◽  
Autonomous Surface Vehicles ◽  
Navigation And Control ◽  
Potential Benefits ◽  
Planning Algorithms ◽  
And Control

AbstractAutonomous surface vehicles are gaining increasing attention worldwide due to the potential benefits of improving safety and efficiency. This has raised the interest in developing methods for path planning that can reduce the risk of collisions, groundings, and stranding accidents at sea, as well as costs and time expenditure. In this paper, we review guidance, and more specifically, path planning algorithms of autonomous surface vehicles and their classification. In particular, we highlight vessel autonomy, regulatory framework, guidance, navigation and control components, advances in the industry, and previous reviews in the field. In addition, we analyse the terminology used in the literature and attempt to clarify ambiguities in commonly used terms related to path planning. Finally, we summarise and discuss our findings and highlight the potential need for new regulations for autonomous surface vehicles.

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