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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

2022 Cohort Teams

Aditya 2

Aditya Om
Computer Science | Class of 2022

Haochen Yu

Haochen Yu
Computer Science and Data Science | Class of 2023

Daphne Tsai

Daphne Tsai
Computer Science | Class of 2023

Leo Lee

Leo Lee
Computer Engineering | Class of 2022

Dr. Ali Peker - Team Mentor
CEO | Adastec

Dr. Kerem Par - Team Mentor
CTO | Adastec

Dr. Cemre Kavvasoğlu - Team Mentor
Technical Product Manager | Adastec

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Maithili Shetty
Electrical Engineering | Class of 2023

Niyanta Mehra

Niyanta Mehra
Robotics | Class of 2023

Sensor Fusion Architecture

The goal of the project is to create safer and more comfortable trips for passengers, and making trips more efficient for the electric automated buses with the fusion of V2X communication and deep learning-based methods for the recognition of traffic lights.

Aabhaas 1

Aabhaas Vaish
Robotics | Class of 2022

Shubhma 4

Shubham Patil
Automotive Engineering | Class of 2023

Julienne Shah

Julienne Shah
Computer Science | Class of 2023

Nithin Donepudi

Nithin Donepudi
Robotics | 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

The goal of this project will be to create a smart intersection utilizing multiple lidar sensors. The software for the LiDAR sensors will be proprietary software provided by the company.

Devika Deshpande

Devika Deshpande
Electrical Engineering | Class of 2023

Yujia Li

Yujia Li
Mechanical Engineering | Class of 2023

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Hao-Tsung Lee
Computer Engineering | Class of 2022

Zheng-Hang (Goro) Yeh

Zheng-Hang (Goro) Yeh
Robotics | Class of 2023

William Persampieri - Team Mentor
Field Application Engineer Team Lead | Baraja

LiDAR Range Tests

This project is to validate the Baraja LiDAR range tests at real-life distances. The end goal would be to have in-field results that are verified against Baraja Manufacturing test data.

Ruohua Li

Ruohua Li
Computer Engineering | Class of 2023

Ashutosh Bhown

Ashutosh Bhown
Computer Science | Class of 2022

Rahul Srinivasan 01

Rahul Srinivasan
Robotics | Class of 2023

Dharmateja Kadem - Team Mentor
Sr. Software Engineer | Gatik AI

Brian McLean - Team Mentor
Head of Hardware | Gatik AI

Apeksha Kumavat - Team Mentor
Co-Founder & Chief Engineer | Gatik AI

3D Object Detection

The project aims to make significant advances in long-range 3D object detection and tracking for autonomous vehicles, i.e. beyond 120 meters and out to 200+ m in front of the vehicle.

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Tyler Schneider
Computer Science | Class of 2022

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Peiling Tan
Computer Science | Class of 2022

Srikar Varaganti

Srikar Varaganti
Robotics | Class of 2023

Sudharsan 1

Sudharsan Babu Srikanthan
Computer Vision | Class of 2023

Martin Nathenson - Team Mentor
P3 Mobility

Jeremy Ward - Team Mentor
Director of Operations | P3 Mobility

BSMs

The goal of this project will be to fuse the basic safety messages (BSMs) from vehicles with sensor data from smart intersections, translating this information into actionable safety data in realtime for both vehicle operators and insurance providers that assess driving risk based on vehicle and environment dynamics.

Anne Ye 01

Anne Ye
Computer Science | Class of 2023

Arushi Narayanan

Arushi Narayanan
Mechanical Engineering | Class of 2024

Wei Lee 02

Wei Lee
Mechanical Engineering | Class of 2023

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Nigam Nimmagadda
Automotive Engineering | Class of 2022

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

Rodrigo Royo - Team Mentor
Application Engineer | XenomatiX

Solid State LiDAR Software

The goal of this project will be to integrate a LiDAR system in an existing serial production vehicle demonstrating modularity and integrability of the latest generation of LiDAR and testing and validating the results running object detection and classification algorithms.

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

Greg McGuire
Lab Director - Mcity

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

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