Daniel Kent is a Michigan-based graduate student and software engineer working in autonomous vehicle applications, research, and system integration.

Research
Work
Daniel Kent
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Research

My research on autonomous vehicles strives to enhance vehicle safety by incorporating state-of-the-art estimation techniques into vehicle perception and actuation. I also have an interest in robustness and security in vehicle system design and integration, especially given the traditionally decentralized architecture of vehicle systems.
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Primary Author

Assuring Vehicle Update Integrity Using Asymmetric Public Key Infrastructure (PKI) and Public Key Cryptography (PKC)
Daniel Kent, Betty HC Cheng, Josh Siegel
SAE International Journal of Transportation Cybersecurity and Privacy, 2020
Localization Uncertainty-driven Adaptive Framework for Controlling Ground Vehicle Robots
Daniel Kent, Philip McKinley, Hayder Radha
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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Contributing Author

Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer
Yasir K Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha
American Control Conference (ACC), 2020
FLAME: Feature-Likelihood Based Mapping and Localization for Autonomous Vehicles
Su Pang, Daniel Kent, Daniel Morris, Hayder Radha
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
3D scan registration based localization for autonomous vehicles - a comparison of NDT and ICP under realistic conditions
Su Pang, Daniel Kent, Xi Cai, Hotaifa Al-Qassab, Hayder Radha
IEEE 88th Vehicular Technology Conference (VTC-Fall), 2018

Daniel Kent
Main
Research
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Work Experience

Intern - Honda Research Institute

Ann Arbor, MI (February 2022-May 2022)

Research Assistant - Michigan State University

East Lansing, MI (2017-Present)

Systems Engineer II - DCS Corporation

Warren, MI (2013-2017)

Intern - Integrity Applications Incorporated

Ann Arbor, MI (Summer 2012)

STEP Student - Propulsion Directorate, USAF

Dayton, OH (Summer 2009, Summer 2010, Summer 2011)

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Practical Skills

Software Languages: C++, Python, bash
Middleware: Robot Operating System (ROS), DDS
Operating Systems: Linux (Ubuntu, RHEL, Debian), Windows
Virtualization: Docker, Linux KVM/QEMU, VMware, LXC/LXD, Virtualbox
3D Modeling: Blender, Solidworks
Fabrication: 3D Printing, 2D Layout, PCB Design
Miscellaneous: Raster and Vector Graphics Editing