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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.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.
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.