scholarly journals FAULT-TOLERANT DESIGN OF A GEAR SHIFTING SYSTEM FOR AUTONOMOUS DRIVING

2020 ◽  
Vol 1 ◽  
pp. 1125-1134 ◽  
Author(s):  
R. Stetter ◽  
R. Göser ◽  
S. Gresser ◽  
M. Witczak ◽  
M. Till

AbstractThis paper reports the application of the methods and tools of fault-tolerant design to an automated shifting system and their reflection and extension. Fault-tolerant design has emerged in the last years and is generally understood as a collection of strategies, methods, algorithms, tools and insights which are intended to support the development of technical systems which are fault-tolerant because of their controllability but also their inherent fault-tolerant design qualities. The field of application is a shifting system for the gear system of a formula student driverless race car.

2020 ◽  
Vol 22 (3) ◽  
pp. 482-492 ◽  
Author(s):  
Ralf Stetter ◽  
Richy Göser ◽  
Sebastian Gresser ◽  
Markus Till ◽  
Marcin Witczak

Author(s):  
K.H. Kim ◽  
H. Hecht ◽  
J. Huang ◽  
M. Naghibzadeh

1997 ◽  
Vol 144 (1) ◽  
pp. 15 ◽  
Author(s):  
C.N. Zhang ◽  
T.M. Bachtiar ◽  
W.K. Chou

1978 ◽  
Vol 66 (10) ◽  
pp. 1126-1145 ◽  
Author(s):  
W.N. Toy

2020 ◽  
Author(s):  
Yazhou Li ◽  
Yahong Rosa Zheng

This paper presents two methods, tegrastats GUI version jtop and Nsight Systems, to profile NVIDIA Jetson embedded GPU devices on a model race car which is a great platform for prototyping and field testing autonomous driving algorithms. The two profilers analyze the power consumption, CPU/GPU utilization, and the run time of CUDA C threads of Jetson TX2 in five different working modes. The performance differences among the five modes are demonstrated using three example programs: vector add in C and CUDA C, a simple ROS (Robot Operating System) package of the wall follow algorithm in Python, and a complex ROS package of the particle filter algorithm for SLAM (Simultaneous Localization and Mapping). The results show that the tools are effective means for selecting operating mode of the embedded GPU devices.


2011 ◽  
Vol 20 (1) ◽  
pp. 56-75
Author(s):  
Ruyan Wang ◽  
Dapeng Wu ◽  
Sheng Huang ◽  
Keping Long

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