scholarly journals Connected and Automated Vehicles

2016 ◽  
Vol 138 (12) ◽  
pp. S5-S11 ◽  
Author(s):  
Huei Peng
Keyword(s):  
Extended Period ◽  
University Of Michigan ◽  
Automated Vehicles ◽  
Operational Test ◽  
Field Operational Test ◽  
Dynamics And Control ◽  
Private Research ◽  
Vehicle Technologies ◽  
The University ◽  
And Control

This article focuses on dynamics and control of connected and automated vehicles. The complexity and difficulty can grow significantly from low automation levels to higher levels. The paper briefly highlights three challenges, i.e., sensing, localization, and perception. The Mobility Transformation Center (MTC) is a public/private research and development partnership led by the University of Michigan. MTC aims to develop the foundations for a viable ecosystem of CAVs. A popular alternative to test high-automation-level AVs is the Naturalistic-Field Operational Test (N-FOT). In an N-FOT, a number of equipped vehicles are tested under naturalistic driving conditions over an extended period. In the near future, connected and automated vehicle technologies are expected to be deployed rapidly. While there has been a lot of research in, and attention to, the field of sensing, localization, and perception, this paper aims to point out a few areas related to the field of dynamics and control that are opportunities for further research.

scholarly journals An Overview of Autonomous Underwater Vehicle Research and Testbed at PeRL

2009 ◽  
Vol 43 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Hunter C. Brown ◽  
Ayoung Kim ◽  
Ryan M. Eustice
Keyword(s):  
Real Time ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
University Of Michigan ◽  
Major Research ◽  
Research Areas ◽  
Localization And Mapping ◽  
Navigation And Control ◽  
The University ◽  
And Control

AbstractThis article provides a general overview of the autonomous underwater vehicle (AUV) research thrusts being pursued within the Perceptual Robotics Laboratory (PeRL) at the University of Michigan. Founded in 2007, PeRL's research centers on improving AUV autonomy via algorithmic advancements in environmentally based perceptual feedback for real-time mapping, navigation, and control. Our three major research areas are (1) real-time visual simultaneous localization and mapping (SLAM), (2) cooperative multi-vehicle navigation, and (3) perception-driven control. Pursuant to these research objectives, PeRL has developed a new multi-AUV SLAM testbed based upon a modified Ocean-Server Iver2 AUV platform. PeRL upgraded the vehicles with additional navigation and perceptual sensors for underwater SLAM research. In this article, we detail our testbed development, provide an overview of our major research thrusts, and put into context how our modified AUV testbed enables experimental real-world validation of these algorithms.

Hospital to Community: A Collaborative Medical Rehabilitation and Independent Living Program

1992 ◽  
Vol 23 (1) ◽  
pp. 18-21 ◽  
Author(s):  
Denise G. Tate ◽  
Lynnette Rasmussen ◽  
Frederick Maynard
Keyword(s):  
Independent Living ◽  
Spinal Cord Injuries ◽  
Medical Center ◽  
Medical Rehabilitation ◽  
University Of Michigan ◽  
Ann Arbor ◽  
Independent Living Program ◽  
The University ◽  
And Control ◽  
Michigan Medical

A collaborative model of medical rehabilitation and independent living program has been developed by the University of Michigan Medical Center (UMMC) and the Ann Arbor Center for Independent Living (AACIL) to assist persons with spinal cord injuries (SCI) in acquiring maximal independence and control over their lives after the onset of a new traumatic disability.

scholarly journals Design and Analysis of an Interconnected Suspension for a Small Off-Road Vehicle

2017 ◽  
Vol 64 (1) ◽  
pp. 5-21
Author(s):  
Bruce P. Minaker ◽  
Zheng Yao
Keyword(s):  
Dynamic Analysis ◽  
Mechanical Design ◽  
Ride Quality ◽  
Road Vehicle ◽  
Performance Improvements ◽  
Multibody Dynamic ◽  
Control Research ◽  
Dynamics And Control ◽  
The University ◽  
And Control

Abstract The paper describes the design and multibody dynamic analysis of a mechanically interconnected suspension, as applied to a small off-road vehicle. Interconnected suspensions use some sort of connection between the axles of a vehicle in order improve ride quality or vehicle handling. In principle, the connection may be hydraulic, pneumatic, or mechanical, but for installation in a typical passenger car, a mechanical connection would likely be impractical due to weight and complexity. In this paper, the vehicle in question is the University of Windsor SAE Baja off-road competition vehicle, and novel mechanical design is proposed. A multibody dynamic analysis is performed on the proposed design using the EoM open source multibody software developed by the University of Windsor Vehicle Dynamics and Control research group in order to assess any potential performance improvements.

From Research to Didactics: The Course of Dynamics and Control of Fluid Machines for Automation Engineering Students

2008 ◽  
Author(s):  
M. Venturini ◽  
M. Morini
Keyword(s):  
Dynamic Behavior ◽  
Engineering Students ◽  
Student Evaluation ◽  
Operating Conditions ◽  
Student Feedback ◽  
System Control ◽  
Control Logic ◽  
Dynamics And Control ◽  
The University ◽  
And Control

The paper deals with the course “Dynamics and Control of Fluid Machines”, which has been held at the Faculty of Engineering of the University of Ferrara (Italy) since the academic year 2002/2003 for the Second-Level Degree Course in Computer Sciences and Automation Engineering. The aim of the course is the study of fluid machines, by combining base knowledge with physical-mathematical analysis of the unsteady behavior and of off-design operating conditions. The first characteristic aspect of the course is the study of the dynamic behavior of fluid machines. The second relevant aspect is the analysis of system control. In this paper, course characteristics are presented and discussed. In particular, as a part of the final examination, students are asked to develop an individual project, whose results are also reported in this paper. The project consists of the simulation of the dynamic behavior of an industrial system for compressed air production by means of a multistage centrifugal compressor. Students are required to properly design the controller and to discuss the adopted control logic. Student feedback is evaluated by means of a survey conducted to evaluate the quality of the didactic activity. The analysis of student feedback reveals that student evaluation towards the course proves higher than the “average” evaluation for the didactic activity held at the University of Ferrara, at the Faculty of Engineering or within the same Degree Course.

Accelerated Evaluation of Automated Vehicles in Lane Change Scenarios

2015 ◽  
Author(s):  
Ding Zhao ◽  
Huei Peng ◽  
Henry Lam ◽  
Shan Bao ◽  
Kazutoshi Nobukawa ◽  
...  
Keyword(s):  
Evaluation Process ◽  
Statistical Information ◽  
Automated Vehicles ◽  
Safety Critical ◽  
Evaluation Approach ◽  
Pilot Model ◽  
Human Driver ◽  
Operational Test ◽  
Field Operational Test ◽  
Low Exposure

It is important to rigorously and comprehensively evaluate the safety of Automated Vehicles (AVs) before their production and deployment. A popular AV evaluation approach is Naturalistic-Field Operational Test (N-FOT) which tests prototype vehicles directly on public roads. Due to the low exposure to safety-critical scenarios, N-FOTs is time-consuming and expensive to conduct. Computer simulations can be used as an alternative to N-FOTs, especially in terms of generating motions of the surrounding traffic. In this paper, we propose an accelerated evaluation approach for AVs. Human-controlled vehicles (HVs) were modeled as disturbance to AVs based on data extracted from the Safety Pilot Model Deployment Program. The cut-in scenarios are generated based on skewed statistics of collected human driver behavior, which amplifies riskier testing scenarios while reserves its statistical information so that the safety benefits of AV in non-accelerated cases can be accurately estimated. An AV model based on a production vehicle was tested. Results show that the proposed method can accelerate the evaluation process by at least 100 times.

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