Collaborating Authors


Researchers use artificial intelligence to predict road user behavior - Actu IA


For an autonomous car to drive safely, being able to predict the behavior of other road users is essential. A research team at the Massachusetts Institute of Technology's CSAIL, along with researchers at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, have developed a new ML system that could one day help driverless cars predict in real time the upcoming movements of nearby drivers, cyclists and pedestrians. They titled their study, " M2I: From Factored Marginal Path Prediction to Interactive Prediction." Qiao Sun, Junru Gu, Hang Zhao are the IIIS members who participated in this study while Xin Huang and Brian Williams represented MIT. Humans are unpredictable, which makes predicting road user behavior in urban environments de facto very difficult.

Could Brands Like Tesla Lure You Into Buying a Driverless Car?


Tesla's founder Elon Musk said back in 2013: Self-driving cars are the natural extension of active safety and obviously something we think we should do. Fully-autonomous vehicles (AV) are no longer a technology of the future. Established and emerging manufacturers have embarked on a journey to produce the most reliable driverless cars to compete in a growing market. But people still don't trust AVs are safe, despite potential benefits of fuel efficiency, reduced emissions and improve mobility. We study the power of brands. Our research found companies can take advantage of their brand reputation to encourage consumers to adopt driverless cars.

Learning about Autonomous Vehicle Technology: Part I


While the full benefits of autonomous driving companies' impact on society are impossible to predict, the transformational potential of these technologies can be understood by looking at U.S. demographics and the communities these technologies aim to support. Autonomous vehicle technology may provide millions of Americans with new transportation alternatives. There are 49 million people over the age of 65 in the United States today, and a total of 53 million people have a handicap or disability. In many parts of the country, the ability to drive is required for working and living an independent life. Millions of people could benefit from automated vehicles, allowing them a safe way to get to work or go about their everyday lives.

Driverless Vehicles: The Socioeconomic Effects and Future of Autonomous Technology


Note: This article was originally published as an essay for an ethics class. I have decided to keep it in the same format given the sources used. It was originally written sometime in 2015. Quite interesting to observe similarities, differences, and growth in just the short span of 3 years when it comes to driverless cars and autonomous technology. Thousands of years ago, humans roamed the earth on nothing but bare feet. Hundreds of years ago, we rode horses and carriages, even trains. Then, Henry Ford and the automobile came along to pave the way for one of today's most common ways of transportation.

AI Strikes Again – Self Driving Cars Are Already Here


Artificial Intelligence (AI) is not developing at the speed of light. Instead, it is developing at WARP SPEED. Do you already feel somewhat overwhelmed by change? Predictions are that things are about to take off even faster. Twenty years from now, the rate of change will be four times what it is now.

San Francisco police stop self-driving car – and find nobody inside, video shows

The Guardian

A video recently posted online shows what happens when police try to apprehend an autonomous vehicle – only to find nobody inside. Police in San Francisco stopped a vehicle operated by Cruise, an autonomous car company backed by General Motors, in a video posted on 1 April. Officers approached the car, which had been driving without headlights, only to find it was empty. "Ain't nobody in it – this is crazy," a bystander can be heard saying in the video. The car then speeds away to the other side of the intersection, leaving the police behind.

'I'm the Operator': The Aftermath of a Self-Driving Tragedy


Rafaela Vasquez liked to work nights, alone, buffered from a world she had her reasons to distrust. One Sunday night in March 2018, Uber assigned her the Scottsdale loop. She drove a gray Volvo SUV, rigged up with cameras and lidar sensors, through the company's garage, past the rows of identical cars, past a poster depicting a driver staring down at a cell phone that warned, "It Can Wait." The clock ticked past 9:15, and Vasquez reached the route's entry point. She flipped the Volvo into autonomous mode, and the car navigated itself through a blur of suburban Arizona, past auto dealers and Zorba's Adult Shop and the check-cashing place and McDonald's.

Consumers don't trust fully autonomous vehicle technology, new study finds


A new study from AutoPacific released on Thursday said most drivers are not ready to fully trust autonomous vehicles yet. The research and consulting firm surveyed 600 licensed drivers ages 18 to 80 throughout the U.S., asking their thoughts on the future of self-driving cars. Only 29 percent of drivers said they would feel safe with their own fully autonomous vehicle, while 26 percent said they would only feel comfortable if they were a passenger in somebody else's fully autonomous car. Currently, there are no completely automated vehicles available for public purchase. "This is technology that most consumers are going to need to see and experience for several years before becoming comfortable," Ed Kim, president and chief analyst of AutoPacific, said in a press release.

The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law Artificial Intelligence

Artificial intelligence (AI) features are increasingly being embedded in cars and are central to the operation of self-driving cars (SDC). There is little or no effort expended towards understanding and assessing the broad legal and regulatory impact of the decisions made by AI in cars. A comprehensive literature review was conducted to determine the perceived barriers, benefits and facilitating factors of SDC in order to help us understand the suitability and limitations of existing and proposed law and regulation. (1) existing and proposed laws are largely based on claimed benefits of SDV that are still mostly speculative and untested; (2) while publicly presented as issues of assigning blame and identifying who pays where the SDC is involved in an accident, the barriers broadly intersect with almost every area of society, laws and regulations; and (3) new law and regulation are most frequently identified as the primary factor for enabling SDC. Research on assessing the impact of AI in SDC needs to be broadened beyond negligence and liability to encompass barriers, benefits and facilitating factors identified in this paper. Results of this paper are significant in that they point to the need for deeper comprehension of the broad impact of all existing law and regulations on the introduction of SDC technology, with a focus on identifying only those areas truly requiring ongoing legislative attention.

Hitting the Books: What autonomous vehicles mean for tomorrow's workforce


In the face of daily pandemic-induced upheavals, the notion of "business as usual" can often seem a quaint and distant notion to today's workforce. But even before we all got stuck in never-ending Zoom meetings, the logistics and transportation sectors (like much of America's economy) were already subtly shifting in the face of continuing advances in robotics, machine learning and autonomous navigation technologies. In their new book, The Work of the Future: Building Better Jobs in an Age of Intelligent Machines, an interdisciplinary team of MIT researchers (leveraging insights gleaned from MIT's multi-year Task Force on the Work of the Future) exam the disconnect between improvements in technology and the benefits derived by workers from those advancements. It's not that America is rife with "low-skill workers" as New York's new mayor seems to believe, but rather that the nation is saturated with low-wage, low-quality positions -- positions which are excluded from the ever-increasing perks and paychecks enjoyed by knowledge workers. The excerpt below examines the impact vehicular automation will have on rank and file employees, rather than the Musks of the world.