MIT and Toyota release innovative dataset to accelerate autonomous driving research
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
DriveSeg contains precise, pixel-level representations of many common road objects, but through the lens of a continuous video driving scene.
Associate Professor Jinhua Zhao, who will direct the new MIT Mobility Initiative, brings behavioral science to urban transportation.
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.
A variety of MIT research projects could aid efforts to detect and prevent the spread of coronavirus.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Improving the rate of handwashing at just 10 major airports could significantly slow the spread of a viral disease, researchers estimate.
CSHub researchers have developed a pavement maintenance model that considers future uncertainties to improve performance and lower cost.
The rate of passenger fatalities has declined yet again in the last decade, accelerating a long-term trend.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
Study shows how commuting and other forms of everyday travel help spread mosquito-borne disease in urban settings.
MIT-Italy helps build supercharged partnerships on campus and across the globe.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
With a focus on driver and passenger safety, startup Max NG provides delivery and transportation services in West Africa.