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TechLab at Mcity

TechLab_formal (1)

TechLab at Mcity is a Company-in-Residence program (company-sponsored technical projects housed at Mcity and the Ann Arbor campus) for early-stage advanced mobility companies in the connected and autonomous vehicle (CAV) industry through the work of elite and technically-skilled students. 

Connected and Autonomous (CAV) vehicles are changing the world and the way we navigate our day to day. Global Treks: immersive experiences into the world of startups, early-stage ventures, and high-impact companies in D.C., New York City, and San Francisco "Our partnership with TechLab at Mcity has been one of the most enduring and productive research collaborations we’ve ever participated in. -Ro Gupta, Co-founder & CEO Carmera

2021 Cohort Teams

Elliot 6

Elliot Klein
Computer Science | Class of 2023

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Yu Chun Kuo
Mechanical Engineering | Class of 2021

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Eric Wiener
Computer Science | Class of 2022

Nicholas Liang 3

Nicholas Lang
Computer Engineering | Class of 2022

Dr. Ali Peker - Team Mentor
CEO | Adastec

Dr. Kerem Par - Team Mentor
CTO | Adastec

Aditya 2

Aditya Om
Electrical and Computer Engineering | Class of 2022

Xiang 1

Xiang Shen
Computer Science and Data Science | Class of 2022

Haochen 2

Haochen Yu
Computer Science and Data Science | Class of 2023

Sensor Fusion Architecture

The goal of the project is to create a sensor fusion architecture to enhance perception to cope with adverse weather conditions and provide fault tolerance. Project results will be tested both on the test track and on the bus deployed in Michigan.

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William Cooley
Computer Science | Class of 2022

Zareef 5

Zareef Safdar
Computer Science | Class of 2022

Xinyu 1

Xinyu Wang
Computer Engineering | Class of 2021

Meet 2

Meet Gandhi
Mechanical Engineering | Class of 2022

Nicola Croce - Team Mentor
Technical Program Manager | Deepen AI

Aabhaas 1

Aabhaas Vaish
Computer Vision | Class of 2023

Methods to Extract Driving Scenarios

Using scenario extraction from real-world data and corner case creation, students will investigate methods to extract driving scenarios from raw data from vehicle’s sensor streams.

Pranav 1

Pranav Chaudhary
Computer Science| Class of 2022

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Rucha Apte
Computer Science| Class of 2021

Elton Lin 4

Elton Lin
Computer Science | Class of 2022

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Chunkai Yao
Computer Engineering | Class of 2021

Ronghua Zhang - Team Mentor
Principal Engineer | Deepmap

Marlene Wan - Team Mentor
HDMaps Services | Deepmap

Chen Chen - Team Mentor
Staff Software Engineer and Tech Lead | Deepmap

HD Mapping

Based on the interests of the students, the project could focus on data collection, data processing, localisation and change detection, and deep learning and map labelling tools to make an HD map of Mcity and the Detroit area.

Lance 2

Lance Bassett
Computer Science | Class of 2022

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Michael Gagin
Computer Science | Class of 2022

Michael Gertler 1

Michael Gertler
Mechanical Engineering | Class of 2022

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Jialu Yu
Mechanical Engineering | Class of 2022

Ivgeny Kopilevich - Team Mentor
Head of Algo | Foresight Automotive

Thermal Imaging

This project will focus on the use of thermal imaging to detect and identify traffic signals.

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Haoxuan Liu
Computer Science | Class of 2022

Yongyu 1

Yongyu Deng
Computer Science | Class of 2022

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Suraj Harjani
Computer Science | Class of 2022

Maha 1

Mahalakshmi Iyer
Computer Science | Class of 2022

Lucas McKenna - Team Mentor
Senior Engineer | Point One Navigation

Sudharsan 1

Sudharsan Babu Srikanthan
Electrical and Computer Engineering | Class of 2023

Shubhma 4

Shubham Patil
Automotive Engineering | Class of 2023

Precise Location Services

This semester the student team will focus on development of a map database that can be queried in real-time by AVs in the field, particularly fleet services. These maps will include 3D features and will also be updated by vehicles on the road.

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Heming Huang
Electrical Engineering | Class of 2022

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Anoop Kotha
Computer Science | Class of 2022

Williams S. 3

William Snedegar
Computer Science | Class of 2022

Peter 4

Peter Linder
Computer Engineering | Class of 2022

David Han - Team Mentor
Managing Director | Seoul Robotics

Youngseong Kim - Team Mentor
Software Engineer | Seoul Robotics

Dongha 4

Dongha Paek
Computer Science | Class of 2022

Automatic Parking System Using LiDAR Software

Students will lead the development of an automated parking system utilizing Seoul Robotics core software and LiDAR at Mcity and partnering with a parking infrastructure OEM.

Pranav 1

Pranav Chaudhary
Computer Science | Class of 2023

Elton Lin 4

Elton Lin
Computer Science | Class of 2021

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Chunkai Yao
Robotics | Class of 2022

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Keyue Zhu
Robotics | Class of 2022

Jacopo Alaimo - Team Mentor
Sales and Business Development Management | XenomatiX

Rodrigo Royo - Team Mentor
Application Engineer | XenomatiX

Solid State LiDAR Software

Students are using Xenomatix's proprietary solid state lidar to gather data and analyze that information to determine the free space on the road available to the vehicle.

Get Involved

FOR STUDENTS

ENTR 390. 013 | Tues. 4-6PM, 1690 Beyster

TechLab students experience entrepreneurship while working in the emerging industry of connected and autonomous vehicle industry (CAV). We are looking for the most driven, passionate and talented students to join this program.

HIGHLIGHTS

  • Tackle industry challenges through CAV technical projects as part of the 1-year fellowship program (Winter-Fall; 3 credits/semester)  
  • Gain experience developing new technologies at an early-stage startup
  • Receive mentorship from industry experts, fellow students, and U-M faculty across multiple disciplines
  • Attend lectures from faculty and industry partners on topics such as business models and project management
  • Obtain leadership and collaboration skills while completing a sponsored company project with other driven and passionate classmates

FOR COMPANIES

COHORT INFORMATION

Partnering companies lead entrepreneurial innovation while leveraging elite and technically-skilled U-M student teams who work to tackle company-sponsored technical projects. This Company-in-Residence program is for early-stage advanced mobility companies in the connected and autonomous vehicle (CAV) industry.

HIGHLIGHTS

  • Work on your proposed year-long project with a small team of top-tiered talented student interns
  • Receive access to the Mcity Test Facility–the nation’s leading mobility research and urban test facility on U-M’s North Campus
  • Gain connections with U-M faculty and industry experts
  • Leverage the close proximity to Detroit, the birthplace of mobility

STUDENT   FAQs

We have several suggested, but not required, skills and courses to successfully complete company sponsored projects. They are: Robotics, Mechatronics (Design, CAD, and machine shop skills), ability to code in C, Python, or C++, machine vision, machine learning, AI focus, mobile software development. The suggested courses are: ME 250, ME 350, and ME 450, EECS 442, 453, 445, 461, 463, other 400+, and courses in computer vision, robotics, and sensor fusion.

TechLab is open to all undergraduate students.

Due to the highly competitive nature of the program, if you are not accepted, we recommend reapplying the following year. Depending on the technical experience that a student has, an incoming freshman could be selected to participate.

Yes, TechLab at Mcity is open to undergraduate to graduate students. Depending on the technical experience that a student has, first-year students to graduate students could be selected.

In order to participate, you must be able to commit to two semesters – Winter & Fall.

Students are required to attend a lecture class every week. Class serves two purposes (1) Receive lectures from faculty on topics like business model and project management (2) Present weekly updates and ask for guidance relating to project roadblocks

To fit with U-M guidelines of 2-3 hours of work per credit hour, this course will require 8-10 hours outside of class.

Only selected students will be contacted via email.

Student teams have an hour-long weekly Skype or Google Hangout call with the company they are matched with. At different points during the year company leads may travel to Ann Arbor to work with students.

3 general elective credits per semester. You must be eligible to receive all 3 credits.

 

*Note: EECS students can use this course as a flexible technical credit. We are working to get this approved among other CoE departments. 

COMPANY  FAQs

Upon being accepted into the incubator program, companies are paired with a team of 3-4 U-M students. As a part of TechLab, you also receive access to Mcity’s Open CAV program, the Mcity Test Facility– the nation’s leading mobility research and urban test facility on U-M’s North Campus, and additional resources as needed.

We are looking for early-stage technology companies in the autonomous and connected vehicle industry. The typical TechLab company is one that has already raised > $5M dollars and has more than 15 employees. This guarantees that we are working with globally leading companies that are well on their way and have the management capability to oversee and contribute to projects in a substantial way.

All companies are required to submit a proposal. If you are interested in being considered for this incubator program, please email techlab-mcity@umich.edu.

Existing intellectual property of technology startups, and any IP developed using the U-M facilities, will be strictly protected and remain with your company. All students are required to sign a NDA.

Alumni Companies

Civil Maps
San Francisco, CA

2016/2017 Cohort

Tome
Detroit, MI

2017/2018 Cohort

NAVYA
Villeurbanne, France

2017 Cohort

Zendrive
San Francisco, CA

2016/2017/2018 Cohort

PolySync
Portland, OR and Ann Arbor, MI

2016/2017/2018 Cohort

CARMERA
New York City, NY

2017/2018/2019 Cohort

Trillium Secure, Inc. 
Sunnyvale, CA

2018/2019 Cohort

RightHook, Inc. 
San Jose, CA

2017/2018/2019 Cohort

Innoviz Technologies 
Israel, Santa Clara, CA, and Munich

2019/2020 Cohort

May Mobility 
Ann Arbor, MI

2019/2020 Cohort

Humanising Autonomy 
London and Great Britain

2019/2020 Cohort

Refraction AI 
Ann Arbor, MI

2019/2020 Cohort

Point One Navigation 
San Francisco, CA

2020/2021 Cohort

Seoul Robotics 
Ann Arbor, MI and Seoul, KR

2020/2021 Cohort

DeepMap now Nvidia (acquired) 
Palo Alto, CA

2021 Cohort

Foresight Automotive 
Israel

2021 Cohort

TechLab Instructors

Doug Moore
Instructor

Eric Wingfield
Instructor

TechLab Staff

Nick Moroz
Program Director

Emilee Studley
Program Specialist

Greg McGuire
Lab Director - Mcity

TechLab is managed by U-M Center for Entrepreneurship, in partnership with Mcity.

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