Design and Development of an Optimal-Control-Based Framework for Trajectory Planning, Threat Assessment, and Semi-autonomous Control of Passenger Vehicles in Hazard Avoidance Scenarios

Author(s):  
Sterling J. Anderson ◽  
Steven C. Peters ◽  
Tom E. Pilutti ◽  
Karl Iagnemma
Author(s):  
Sterling J. Anderson ◽  
Steven C. Peters ◽  
Tom E. Pilutti ◽  
H. Eric Tseng ◽  
Karl Iagnemma

This paper presents a method for semi-autonomous hazard avoidance in the presence of unknown moving obstacles and unpredictable driver inputs. This method iteratively predicts the motion and anticipated intersection of the host vehicle with both static and dynamic hazards and excludes projected collision states from a traversable corridor. A model predictive controller iteratively replans a stability-optimal trajectory through the navigable region of the environment while a threat assessor and semi-autonomous control law modulate driver and controller inputs to maintain stability, preserve controllability, and ensure safe hazard avoidance. The efficacy of this approach is demonstrated through both simulated and experimental results using a semi-autonomously controlled Jaguar S-Type.


2018 ◽  
Vol 41 (3) ◽  
pp. 673-688 ◽  
Author(s):  
Daniel González-Arribas ◽  
Manuel Soler ◽  
Manuel Sanjurjo-Rivo

2021 ◽  
Author(s):  
Boris Blagojevic ◽  
Benjamin Schonemann ◽  
David Nigl ◽  
Lucio Blandini ◽  
Oliver Sawodny

Robotica ◽  
2021 ◽  
pp. 1-26
Author(s):  
Aaron Hao Tan ◽  
Michael Peiris ◽  
Moustafa El-Gindy ◽  
Haoxiang Lang

Abstract This article proposes the design and development of a novel custom-built, autonomous scaled multiwheeled vehicle that features an eight-wheel drive and eight-wheel steer system. In addition to the mechanical and electrical design, high-level path planning and low-level vehicle control algorithms are developed and implemented including a two-stage autonomous parking algorithm is developed. A modified position-based visual servoing algorithm is proposed and developed to achieve precise pose correction. The results show significant gains in accuracy and efficiency comparing with an open-source path planner. It is the aim of this work to expand the research of autonomous platforms taking the form of commercial and off-road vehicles using actuated steering and other mechanisms attributed to passenger vehicles. The outcome of this work is a unique autonomous research platform that features independently driven wheels, steering, autonomous navigation, and parking.


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