Autonomous Vehicles

Guo is working to boost the visibility of autonomous cars for improved safety, and Mi is building a prototype solar hydrogen production system that could out-compete electric cars.

PhD student Ester Bentley designs smaller, better 3D mechanical resonators for use in high-performance gyroscopes to help unmanned systems navigate when GPS signal is jammed or lost.

PhD student Matthew Belz will work to develop jamming-resistant radar systems for autonomous vehicles.

Accurate gyroscopes are a bottleneck for backup navigation systems in autonomous vehicles.

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

The ARC works to solve a broad set of issues pertaining to the modeling and simulation of ground vehicle systems.

Researchers demonstrated the use of stacked, transparent graphene photodetectors combined with image processing algorithms to produce 3D images and range detection.

Students toured KLA, a global capital equipment company, and Quantum Signal AI, a startup recently acquired by Ford to make robotaxis and driverless delivery vehicles a reality within two years.

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

Ford acquires Quantum Signal AI, founded by ECE alum Mitchell Rohde, to make robotaxis and driverless delivery vehicles a reality within two years.

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.

The team was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.

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

Second Prize overall went to doctoral student Xiuzhang Cai for his radar target classification research applicable to autonomous vehicles.

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

PhD student Glen Chou is focused on ensuring that autonomous systems, including cars and robots, never threaten human safety.

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

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

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

This year the team tackled their first autonomous aircraft.

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

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

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

Research will focus on how autonomous vehicles adapt to wide-ranging changes.

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

Student leads team that programs the future of boats.

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.

Thurman, this year's UM::Autonomy vessel designed by EECS students, took 6th place in the RoboNation RoboBoat Competition.

Armin’s research is focused on the development of a sub-millimeter-wave radar system for the next generation of navigation and imaging sensors.

Audrow's research focuses on using coordinated groups of UAVs to continuously and autonomously survey biogas emissions in landfills.

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

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.

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.

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.

For this year’s competition, UM::Autonomy performed a complete hull redesign, motivated by instability in their previous designs.

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

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

KACST will provide manpower and will collaborate with Michigan faculty and students on their projects.

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

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