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Presented By: Automotive Research Center

2017 ARC Collaborative Research Seminar - Fall Series

Dr. Shravan Veerapaneni (MATH) and Dr. Jason Corso (EECS)

Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan
Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan
Talk 1. Fast Numerical Algorithms for High-fidelity Simulation of Terramechanics
Dr. Shravan Veerapaneni, Assoc. Prof. Mathematics, University of Michigan
http://www.math.lsa.umich.edu/~shravan/

Abstract: The discrete element method (DEM) is one of the most widely used approaches to simulate the dynamics of multiple rigid bodies, specially in terramechanics applications. While the classical DEMs are based on applying penalty forces to handle contact, novel complementarity constraint based approaches (DEM-C) are emerging as promising alternatives that ameliorate the numerical stability issues plaguing the penalty methods. Motivated by prior work at TARDEC, we are interested in developing fast and scalable algorithms for solving the constrained optimization problem that arises in DEM-C. I will discuss the progress by our group in the past year, the challenges that lay ahead and the broader impacts of this direction of research.

Talk 2: Towards Kinematic Reconstruction of Roadway Scenes from Single-Camera Input
Dr. Jason Corso, Assoc. Prof. Electrical Engineering and Computer Science, University of Michigan
http://web.eecs.umich.edu/~jjcorso/

Abstract: Creating simulation environments takes ample well-annotated data. The recent trend moving toward machine learning-based construction and use of simulations has increased the need for such data. However, acquiring such well-annotated data is a challenge, especially in the case of rare traffic events like crashes. Surprisingly, web-uploaded open-source videos acquired from simple devices like dash cameras already contain ample examples. Yet, their 3d kinematic and dynamic parameters are not known. In this talk, I will describe our recent efforts in inferring such parameters for third-person view dash-camera acquired video. Our works implement human-in-the-loop deep network architectures to reconstruct vehicle pose from a single viewpoint and to request input from a human to help with this process.

Refreshments will be served 9:15 - 9:30am. Talks will begin promptly at 9:30am.
ARC seminars are free and open to the general public.
Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan
Automotive Research Center - A U.S. Army Center of Excellence for Modeling and Simulation of Ground Vehicles led by the University of Michigan

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