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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. 

- Jon Mullen - CTO - RightHook "TechLab students worked with RightHook engineers to refine software sensor models, and explore accelerated testing concepts such as augmented reality." "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 Klein

Elliot Klein
Computer Science | Class of 2023

Yu Chun Kuo

Yu Chun Kuo
Mechanical Engineering | Class of 2021

Eric Wiener

Eric Wiener
Computer Science | Class of 2022

Nicholas Lang

Nicholas Lang
Computer Engineering | Class of 2022

Dr. Ali Peker - Team Mentor
CEO | Adastec

Dr. Kerem Par - Team Mentor
CTO | Adastec

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.

William Cooley Square

William Cooley
Computer Science | Class of 2022

Zareef Safdar

Zareef Safdar
Computer Science | Class of 2022

Xinyu Wang

Xinyu Wang
Computer Engineering | Class of 2021

Meet Gandhi

Meet Gandhi
Mechanical Engineering | Class of 2022

Nicola Croce - Team Mentor
Technical Program Manager | Deepen AI

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 Chaudhary

Pranav Chaudhary
Computer Science| Class of 2022

Rucha Apte

Rucha Apte
Computer Science| Class of 2021

Elton_Lin_headshot

Elton Lin
Computer Science | Class of 2022

Chunkai Yao

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 Bassett

Lance Bassett
Computer Science | Class of 2022

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Michael Gagin
Computer Science | Class of 2022

Michael Gertler

Michael Gertler
Mechanical Engineering | Class of 2022

Jialu Yu

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.

Haoxuan Liu

Haoxuan Liu
Computer Science | Class of 2022

Yongyu Deng

Yongyu Deng
Computer Science | Class of 2022

Suraj Harjani

Suraj Harjani
Computer Science | Class of 2022

Mahalakshmi Iyer

Mahalakshmi Iyer
Computer Science | Class of 2022

Lucas McKenna - Team Mentor
Senior Engineer | Point One Navigation

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.

Heming Huang

Heming Huang
Electrical Engineering | Class of 2022

Anoop Kotha

Anoop Kotha
Computer Science | Class of 2022

William Snedegar

William Snedegar
Computer Science | Class of 2022

Peter Linder

Peter Linder
Computer Engineering | Class of 2022

David Han - Team Mentor
Managing Director | Seoul Robotics

Youngseong Kim - Team Mentor
Software Engineer | Seoul Robotics

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.

Get Involved

TECHLAB RECRUITMENT EVENTS

We encourage applicants to demonstrate an active interest in our program through attending events in addition to submitting an application.

This is your opportunity to ask TechLab staff and instructors anything and everything! During this info session, we’ll go deeper into program specifics and leave with a better understanding of how TechLab at Mcity can help you with your career goals.

TechLab at Mcity Info Session | Virtual | 10/5 | 4:30 – 5:30 p.m. | RSVP here to receive the Zoom link

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.

2022 Cohort Companies

Deepen AI builds tools that use artificial intelligence to help autonomous systems to reliably understand and safely interact with the real world. Deepen enables consistent data curation, labeling and validation for autonomous vehicles, robots, drones, etc.

Project: 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.

Adastec delivers the most advanced Level 4 automation platform for full-size buses and coaches currently available.

Project: 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.

XenomatiX is the first company to offer true solid state lidar sensors based on a multi-beam lasers concept and risk-free, scalable, semiconductor technology. XenomatiX’ sensors are known for their unique concept using mature technology components.

Project: 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.

Gatik the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium duty trucks. The company focuses on short-haul, business-to-business (B2B) logistics for the retail industry.

Project: 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.

Baraja Lidar is a deep technology company that has reinvented LiDAR for self-driving vehicles. Their Spectrum-ScanTM platform uses patented technology to set new benchmarks for precision, range and reliability.

Project: 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.

P3Mobility partners with local governments to deploy smart infrastructure that increases safety, mobility, and sustainability. Their proprietary software platform facilitates the revenue generation necessary to finance smart road and connected vehicle services.

Project: 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

Alumni Companies

Civil Maps
San Francisco, CA

Fall 2016 - Winter 2017

Tome
Detroit, MI

Fall 2017 - Fall 2018

NAVYA
Villeurbanne, France

Fall 2016 - Winter 2017

Zendrive
San Francisco, CA

Fall 2017 - Winter 2018

PolySync
Portland, OR and Ann Arbor, MI

Fall 2016 - Fall 2018

CARMERA
New York City, NY

Fall 2017 - Winter 2019

Trillium Secure, Inc. 
Sunnyvale, CA

Fall 2018 - Winter 2019

RightHook, Inc. 
San Jose, CA

Fall 2018 - Winter 2019

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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