Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Study measures which kinds of infrastructure improvements could lead to wider adoption of clean vehicles.
Proposed design could reduce nitrogen oxide emissions by 95 percent, a new study finds.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
When Covid-19 forced Edgerton Center student teams off campus, the engineers found their problem-solving skills put to the test.
The Clean Air Car Race, which celebrated its 50th anniversary in August, had a lasting impact on the auto industry, government regulations, and the students and faculty who took part.
Topics include Covid-19 and urban mobility, strategies for electric vehicle charging networks, and infrastructure and economics for hydrogen-fueled transportation.
In the Chinese city of Chengdu, one-third of ride-sharing might replace public transit trips.
After a third-place finish at last year's Formula Student Germany, MIT Driverless team aims to compete in the $1.5 million Indy Autonomous Challenge.
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
Study finds simple changes in road resurfacing practices could improve gas mileage for heavy vehicles and reduce greenhouse gas emissions.
Modeling study shows battery reuse systems could be profitable for both electric vehicle companies and grid-scale solar operations.
Speakers at MIT climate symposium outline the steps needed to achieve global carbon neutrality by midcentury.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.