This paper addresses the problem of human-based driver support. Nowadays, driver support systems help users to operate safely in many driving situations. Nevertheless, these systems do not fully use the rich information that is available from sensing the human driver. In this paper, we therefore present a human-based risk model that uses driver information for improved driver support. In contrast to state of the art, our proposed risk model combines a) the current driver perception based on driver errors, such as the driver overlooking another vehicle (i.e., notice error), and b) driver personalization, such as the driver being defensive or confident. In extensive simulations of multiple interactive driving scenarios, we show that our novel human-based risk model achieves earlier warning times and reduced warning errors compared to a baseline risk model not using human driver information.

Driver support systems that include human states in the support process is an active research field. Many recent approaches allow, for example, to sense the driver's drowsiness or awareness of the driving situation. However, so far, this rich information has not been utilized much for improving the effectiveness of support systems. In this paper, we therefore propose a warning system that uses human states in the form of driver errors and can warn users in some cases of upcoming risks several seconds earlier than the state of the art systems not considering human factors. The system consists of a behavior planner Risk Maps which directly changes its prediction of the surrounding driving situation based on the sensed driver errors. By checking if this driver's behavior plan is objectively safe, a more robust and foresighted driver warning is achieved. In different simulations of a dynamic lane change and intersection scenarios, we show how the driver's behavior plan can become unsafe, given the estimate of driver errors, and experimentally validate the advantages of considering human factors.

It's coming quickly down the road: a world where we can get in a car anytime we want to but don't own one. Where accidents are drastically reduced, and we don't have to worry about dangerous drivers on the road. Where we can join conference calls or draft a report on our morning commute. Cars are changing more quickly and drastically now than at any other point in their history. And it's no wonder: from 2014 to 2017, start-ups, automakers and other stakeholders invested an estimated $80 billion into autonomous vehicle (AV) technology.

In 2016, 37,461 people died in traffic accidents in the US, a 5.6 percent increase over 2015, according to the US Department of Transportation (DoT). This is down from 1970, when around 60,000 people died in traffic accidents in the US. The addition of safety features such as seat belts and air bags have reduced the number of deaths, and new technology from autonomous vehicles could help even more as driver error is eliminated. This ebook, based on a special feature from ZDNet and TechRepublic, looks at emerging autonomous transport technologies and how they will affect society and the future of business. DoT researchers estimate that fully autonomous vehicles, also known as self-driving cars, could reduce traffic fatalities by up to 94 percent by eliminating those accidents that are due to human error.

Driverless cars face a'real risk' of being hacked en masse when they are introduced to Britain, an expert has warned. The connected nature of these vehicles could make them a'target' for hackers, according to evidence submitted to Parliament. Matthew Channon, an insurance expert on driverless cars from Exeter University, has written to MPs to warn of the danger of road accidents. The connected nature of these vehicles could make them a'target' for hackers, according to evidence submitted to Parliament (stock image) Technology experts agree that'connected and autonomous vehicles' without drivers are at risk, following two high-profile US hacks of cars. There are concerns terrorists could fool the automated cars into detecting obstacles which are not there and remotely slam on their brakes.

Under those guidelines, automakers and technology companies will be asked to voluntarily submit safety assessments to the U.S. Department of Transportation, but they don't have to do it. And states are being advised to use a light regulatory hand. At a driverless-car test track in Ann Arbor, Mich., Transportation Secretary Elaine Chao painted a near future of greater safety, fewer deaths, higher productivity and more time spent with loved ones as robots increasingly take over the tasks of driving and commuters are freed for other activities. She unveiled a document titled "Vision for Safety 2.0" and delivered a speech that was strong on vision and light on regulation. "More than 35,000 people perish every year in vehicle crashes," she said -- 94% of those through driver error.