Computer vision

A team of MIT researchers tested MapLite on a Toyota Prius outfitted with a range of LIDAR and IMU sensors.

Self-driving cars for country roads

Today’s autonomous vehicles require hand-labeled 3-D maps, but CSAIL’s MapLite system enables navigation with just GPS and sensors.

May 7, 2018

To create complete road maps companies like Google often have to have employees take existing aerial images with incomplete information and manually fill in the gaps.

A new way to automatically build road maps from aerial images

“RoadTracer” system from the Computer Science and Artificial Intelligence Laboratory could reduce workload for developers of apps like Google Maps.

April 17, 2018

Guy Satat, a graduate student in the MIT Media Lab, who led the new study.

Depth-sensing imaging system can peer through fog

Computational photography could solve a problem that bedevils self-driving cars.

March 20, 2018

Skydio, a San Francisco-based startup founded by three MIT alumni, is commercializing an autonomous video-capturing drone — dubbed by some as the “selfie drone” — that tracks and films a subject, while freely navigating any environment.

The autonomous “selfie drone”

Alumni’s video-capturing drone tracks moving subjects while freely navigating any environment.

March 13, 2018

Escher Reality, co-founded by Ross Finman in the MIT Sandbox, was recently acquired by augmented-reality (AR) giant Niantic — and plans to give back to the program that helped it launch. The startup is developing a platform that allows cross-platform, fully multiplayer AR games that save digital objects in the real world.

MIT Sandbox’s first acquired startup gives back

Augmented-reality startup Escher Reality, which recently sold to Niantic, gives back to the program that helped it launch.

February 21, 2018

Butterfly Network, a startup co-founded by MIT alumnus Nevada Sanchez ’10, SM ’11, has developed a low-cost, handheld scanner that generates clinical-quality ultrasounds on a smartphone. Ultrasounds are uploaded to the cloud, where any expert with permission can give second opinions or help analyze images.

Giving everyone a window into the human body

Startup’s low-cost, portable scanner generates clinical-quality ultrasounds on a smartphone.

February 6, 2018

$MIT spinout PlenOptika has developed a highly accurate, portable autorefractor called QuickSee that measures refractive errors of the eye. More affordable than the current technology, the device has potential to reach patients in previously inaccessible areas of developing countries.$

Startup aims to make vision care more accessible in developing world

Portable device can generate corrective lens prescriptions in areas with no optometry care.

January 10, 2018

Comparing of the cascaded GHz approach with Kinect-style approaches visually represented on a key. From left to right, the original image, a Kinect-style approach, a GHz approach, and a stronger GHz approach.

New depth sensors could be sensitive enough for self-driving cars

Computational method improves the resolution of time-of-flight depth sensors 1,000-fold.

December 21, 2017

Consisting of a headset and hand controllers, CSAIL's new VR system enables users to teleoperate a robot using an Oculus Rift headset.

Teleoperating robots with virtual reality

A virtual reality system from the Computer Science and Artificial Intelligence Laboratory could make it easier for factory workers to telecommute.

October 11, 2017

A new system from MIT's Computer Science and Artificial Intelligence Laboratory works by analyzing light at the edge of walls, which is impacted by the reflections of objects around the corner from the camera.

An algorithm for your blind spot

Using smartphone cameras, system for seeing around corners could help with self-driving cars and search-and-rescue.

October 9, 2017

New leadership for MIT-IBM Watson AI Lab

Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.

September 20, 2017

Pic2Recipe, an artificial intelligence system developed at MIT, can take a photo of an entree and suggest a similar recipe to it.

Artificial intelligence suggests recipes based on food photos

Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.

July 20, 2017

Localizing ground-penetrating radar (LGPR) developed at MIT Lincoln Laboratory uses inherently stable subsurface features and their geolocation to locate a vehicle, even in adverse weather conditions. Below the surface, an earlier map can be seen in gray on the left, while a current scan is shown in light blue under the vehicle, and the registered data is shown in blue and green behind the vehicle...

Lincoln Laboratory enters licensing agreement to produce its localizing ground-penetrating radar

Commercial prototypes of the system will be available to the self-driving vehicle industry.

July 18, 2017

The MIT AgeLab and Toyota CSRC set up a camera system at a busy Cambridge intersection to study minute details of pedestrian movements.

AgeLab researching autonomous vehicle systems in ongoing collaboration with Toyota

Innovative MIT research focuses on developing systems to perceive and identify objects in their environment and understand social interactions in traffic.

June 8, 2017

A GelSight sensor attached to a robot’s gripper enables the robot to determine precisely where it has grasped a small screwdriver, removing it from and inserting it back into a slot, even when the gripper screens the screwdriver from the robot’s camera.

Giving robots a sense of touch

GelSight technology lets robots gauge objects’ hardness and manipulate small tools.

June 5, 2017

MIT News | Massachusetts Institute of Technology

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