A new paper by MIT researchers details the results of a survey on an online platform they developed, which asked respondents to make ethical decisions about fictional self-driving car crashes. “Millions of users from 233 countries and territories took the quiz, making 40 million ethical decisions in total,” writes James Vincent of The Verge.
Carolyn Johnson writes for The Washington Post about a new MIT study “that asked people how a self-driving car should respond when faced with a variety of extreme trade-offs.” According to Prof. Iyad Rahwan, “regulating AI will be different from traditional products, because the machines will have autonomy and the ability to adapt,” explains Johnson.
Prof. John Leonard speaks with Bloomberg News about his work with the Toyota Research Institute on developing a system that combines machine learning technologies and sensors to make vehicles safer. “Imagine if you had the most vigilant and capably trained driver in the world that could take over in a situation where a teenager took a curve too fast,” says Leonard of the inspiration for the system.
Jeremy Gregory, executive director of the MIT Concrete Sustainability Hub, writes for USA Today about how the quality and condition of a roadway impacts a vehicle’s fuel use and greenhouse gas emissions. “Actions that improve road design and conditions can reduce vehicle fuel consumption and emissions,” argues Gregory.
In an article for Wired about distracted driving, Aarian Marshall highlights how MIT researchers are studying how drivers use new automated driving systems. “This is about human-centered development: leveraging the human element and integrating it with advances in automation,” explains Research Engineer Bryan Reimer.
Research Engineer Bryan Reimer speaks with Bloomberg Radio about autonomous vehicle safety following the announcement that nuTonomy will soon test its vehicles on Boston streets. Citing the successful partnership between city officials and autonomous vehicle startups, Reimer stresses the importance of companies demonstrating “that they can walk before they can run.”
In response to a reader’s question about self-driving cars, Mercury News reporter Gary Richards describes new technology in the works by MIT researchers to allow, “driverless cars to change lanes more like human drivers do.”
NBC Mach reporter Tom Metcalfe writes that MIT researchers are developing autonomous boats that could be used to ferry goods and people and could help ease traffic congestion. “We believe that with fleets of very agile autonomous boats we can offload some street traffic onto the waterways,” explains Prof. Daniela Rus.
Researchers from MIT's CSAIL and Senseable City Lab “have designed a fleet of 3-D printed autonomous boats [that] could eventually taxi people and deliver goods,” reports CNBC’s Erin Black. The boats “can also be equipped to monitor a city's water quality,” Black explains.
USA Today reporter Marco della Cava writes that a study by MIT researchers shows drivers typically use Tesla’s Autopilot software for highway driving. Della Cava writes that Research Engineer Bryan Reimer underscored that the findings show there is a need for, “an increase in driver education on the part of stakeholders such as automakers, dealers and perhaps even licensing authorities.”
Wired reporter Jack Stewart highlights how MIT researchers have developed a 3-D printed autonomous boat that could be used to ferry goods or people. The boats could eventually, “use their onboard GPS sensors and inertial measurement units to precisely position themselves in packs, forming instant floating bridges, or stages, or platforms for pop-up food markets on the water.”
In this Bloomberg radio segment, Prof. Daniela Rus discusses her work developing a fleet of autonomous 3-D printed boats that could not only transport goods and people, but also self-assemble into bridges and other structures. Rus explains that she is, “very excited about the idea of taking the autonomy technologies we have in driverless cars and applying them to other vehicles.”
MIT researchers have developed an algorithm that can accurately determine how many taxis a city needs, providing a way to reduce the number of cars on the road, according to Xinhua. “Using the new algorithm, they found the fleet size of cab-hailing service in New York could be cut down by about 30 percent in an optimal scenario.”
Research Specialist Hillary Abraham speaks with Wall Street Journal reporter Adrienne Roberts about a new AgeLab study examining why car dealers often have trouble explaining a car’s advanced safety technology. “Ultimately, it seemed to come down to lack of training, high turnover and the expectation of more work post-sale,” Abraham explains.
MapLite, a system developed by CSAIL researchers, allows autonomous vehicles to drive on roads they’ve never driven before without 3D maps, writes Andrew Hawkins of The Verge. If it becomes commercial, MapLite could ensure “that the safety benefits from autonomous driving [are] extended to residents in rural communities,” suggests Hawkins.