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.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Technological innovations, policies, and behavioral changes will all be needed to reach Paris climate agreement targets.
System from MIT CSAIL sizes up drivers as selfish or selfless. Could this help self-driving cars navigate in traffic?
Robotic boats could more rapidly locate the most valuable sampling spots in uncharted waters.
Model alerts driverless cars when it’s safest to merge into traffic at intersections with obstructed views.
Navigation method may speed up autonomous last-mile delivery.
Envisioning the future (and challenges) of designing affordable technology-enabled mobility devices.
MIT AgeLab research engineer directs a team that studies in-vehicle automation, robotics, AI, and the mechanics of driver attention, among other topics.
By sensing tiny changes in shadows, a new system identifies approaching objects that may cause a collision.
Drones can fly at high speeds to a destination while keeping safe “backup” plans if things go awry.
Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.
Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.
Teams were scored on speed, construction, performance, and financial planning at one of the world’s largest student engineering competitions.