scholarly journals FST-Convoy: A Leader Tracking Control of Vehicles Connected by Shape Sensor FST

2021 ◽  
Vol 33 (3) ◽  
pp. 610-617
Author(s):  
Daisuke Ura ◽  
◽  
Kotaro Masumoto ◽  
Koichi Osuka

This paper describes FST-Convoy, a leader tracking control system for vehicles using the shape sensor flexible sensor tube (FST). Among many methods of autonomous driving, follow-driving is one of them. Some of these have been put into practical use in a limited environment. Unfortunately, there are situations in which such sensors do not work well. One of these is underground. In the underground, GNSS signals do not reach vehicles, so they cannot obtain their positions. Therefore, we propose a new way to achieve follow-driving in such environments. We used the shape sensor, FST. The FST is a shape sensor with a serial link structure and many joints. It can measure its shape by solving its kinematics and determine the relative position of the start link to the end link. Therefore, we can measure the relative positions of vehicles that connected a leader and a follower using FST. We call this system FST-Convoy. We developed and verified the system using a platooning-driving experiment.

2020 ◽  
Vol 1436 ◽  
pp. 012003
Author(s):  
H Hamadi ◽  
B Suhendro ◽  
M S Alamsyah ◽  
M Ibrahim

Author(s):  
Shihuan Li ◽  
Lei Wang

For L4 and above autonomous driving levels, the automatic control system has been redundantly designed, and a new steering control method based on brake has been proposed; a new dual-track model has been established through multiple driving tests. The axle part of the model was improved, the accuracy of the transfer function of the model was verified again through acceleration-slide tests; a controller based on interference measurement was designed on the basis of the model, and the relationships between the controller parameters was discussed. Through the linearization of the controller, the robustness of uncertain automobile parameters is discussed; the control scheme is tested and verified through group driving test, and the results prove that the accuracy and precision of the controller meet the requirements, the robustness stability is good. Moreover, the predicted value of the model fits well with the actual observation value, the proposal of this method provides a new idea for avoiding car out of control.


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