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The University Record: November 30, 2023

Automated shuttle planned for Detroit is testing at Mcity

Researchers at U-M are testing an automated shuttle vehicle that will soon provide free transportation for seniors and persons with disabilities in the city of Detroit. May Mobility, started by Prof. Edwin Olson in 2018, is providing the shuttle and participating in the testing.

Kang G. Shin recognized with Distinguished Leadership Award by IEEE Computer Society Technical & Conference Activities Board

His work in the area of real-time computing has spanned decades and has had impact in a broad range of applications.
Bloomberg: February 2, 2022

Toyota AV-Shuttle Bet May Mobility Raises $83 Million

May Mobility, the self-driving shuttle startup co-founded by Prof. Edwin Olson, has raised $83 million in its largest funding round to date. May will use the money to advance its self-driving software to the point that it can remove human safety drivers from shuttles and replace them with remote supervisors who can monitor several vehicles at once.
Detroit News: September 22, 2021

May Mobility to launch AV shuttle in Ann Arbor

May Mobility, the autonomous transportation company co-founded by Prof. Edwin Olson, is launching a free autonomous vehicle shuttle service in Ann Arbor beginning Oct. 11. The company also has autonomous shuttles operating in Grand Rapids; Arlington, Texas; Hiroshima, Japan; and Indianapolis.
The Hill: July 22, 2021

'Move fast and break things' won't work for autonomous vehicles

The rush to deploy autonomous road vehicles in the United States is understandable, but it must be tempered by safety considerations. CSE Prof. John Meyer and ECE Prof. Carl Landwehr write for The Hill.
A4: All About Ann Arbor: May 19, 2021

Free ‘A2GO’ autonomous shuttle service coming to Ann Arbor this fall

May Mobility, co-founded by Prof. Edwin Olson, along with U-M’s Mcity and Ann Arbor SPARK announced the launch of a free autonomous vehicle shuttle service that will begin operating in downtown Ann Arbor this October.

First IFIP Workshop on Intelligent Vehicle Dependability and Security

The workshop, co-organized by a team including two EECS faculty, focused on ensuring the safety of Level 3 autonomous vehicles, where humans must be ready to take over control.

The Wolverines Behind the Next Generation of Autonomous Vehicles

The Center for Entrepreneurship profiles a team of EECS students, who are working to develop the next generation of delivery vehicles.

Autonomous vehicles can be fooled to ‘see’ nonexistent obstacles

Vehicles that perceive obstacles that aren’t really there could cause traffic accidents.

Automotive research team recognized for research excellence

The ARC works to solve a broad set of issues pertaining to the modeling and simulation of ground vehicle systems.
Forbes: October 31, 2019

Five Components Of Autonomous Car Security

Prof. Morley Mao's research group released the first paper on practical attacks against a LiDAR system.

Offensive vehicle security toolbox makes car hacking easier

The new system is designed to save security researchers time and effort spent reverse-engineering the message format of every vehicle they study.

New attack on autonomous vehicle sensors creates fake obstacles

Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.

Year of growth, experiments for May Mobility

May Mobility intends to gradually acclimate the public to the experience of autonomous driving.

Advancing AI for Video: Startup launches powerful video processing platform

Voxel51 uses AI processing to identify and track objects and activities through video clips.

‘Air traffic control’ for driverless cars could speed up deployment

Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.

Helping drivers use smart cars smarter

This conversational in-vehicle digital assistant can respond to drivers’ questions and commands in natural language

Using drones, a new software tool can bring LTE networks anywhere

SkyCore is a complete software solution to deploying mobile networks on unmanned drones

M-Fly’s season ends with top-10 finishes, new autonomous plane

This year the team tackled their first autonomous aircraft.

Connected cars can lie, posing a new threat to smart cities

The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching.

Paper award for training computer vision systems more accurately

PhD student Jean Young Song offers an improved solution to the problem of image segmentation.

Michigan researchers discover vulnerabilities in next-generation connected vehicle technology

The vulnerability allows an attacker to manipulate a new intelligent traffic control algorithm and cause severe traffic jams.

BMW, Toyota invest in U-M startup May Mobility

Other investors include Detroit Venture Partners, Maven Ventures, SV Angel, Tandem Ventures, Trucks Ventures, and YCombinator.

New student team builds autonomous vehicles

The University of Michigan Intelligent Ground Vehicle (UMIGV) student team has spent much of its first year organizing and fundraising, and is now building a prototype autonomous vehicle.

Toyota Research Institute Partners with U-M on Artificial Intelligence

Toyota will invest $22 million to begin research collaborations focused on autonomous vehicles and advanced robotics. Profs. Edwin Olson and Ryan Eustice will assume roles at the facility to lead research into perception and mapping/localization.

CSE faculty lead university collaboration with Toyota on autonomous vehicles

Faculty members Edwin Olson and Ryan Eustice are joining TRI as area leads.

Genevieve Flaspohler selected for NSF Graduate Research Fellowship

Genevieve will continue her research in the MIT and Woods Hole Oceanographic Institute joint program, pursuing a PhD in computer science with a focus in oceanography.

U-M, Ford are first to address autonomous driving on snow-covered roads

The solution Ford and U-M are working on involves high-resolution 3D maps. U-M researchers have developed these maps and Ford’s test vehicles are equipped with them.

Ford, Michigan Researchers Test First Autonomous Vehicle at Mcity

The scope of the project consists of a number of thrusts including a key research collaboration led by Profs. Edwin Olson and Ryan Eustice, who are playing a leading role in the development of the critical sensing and decision-making found in the Ford test vehicles.

An Autonomous "SmartCart" Testbed is Coming to Michigan

Over the next year, U-M researchers will develop autonomy capabilities and build a mobile phone interface users can use to request a ride.

Steven Parkison earns NSF Fellowship to design tools for the future of autonomous cars

The goal of Steven’s research is to improve vision-based perception systems on cars and to create an extra layer of safety.

EECS alums are flying high with drone startup Skyspecs

SkySpecs is currently in the process of launching their first product, the Guardian, which will help prevent collisions.

Ryan Wolcott Receives Best Student Paper Award at IROS 2014

The paper presents a new visual localization algorithm that allows an autonomous car to precisely know where it is at with sub-lane precision.