AI News, IBM Patents Cognitive System to Manage Self-Driving Vehicles

IBM Patents Cognitive System to Manage Self-Driving Vehicles

- 30 Mar 2017: IBM (NYSE: IBM) today announced that its scientists have been granted a patent around a machine learning system that can dynamically shift control of an autonomous vehicle between a human driver and a vehicle control processor in the event of a potential emergency, providing a safety measure that can contribute to accident prevention.

Their background as computational neuroscientists led the inventors to devise a cognitive model and technique that employs sensors and artificial intelligence to dynamically determine potential safety concerns and control whether self-driving vehicles are operated autonomously or by relinquishing control to a human driver.

“We are focused on finding new ways to leverage our understanding of the human brain and inventing systems that can help those enterprises improve the safety of autonomous vehicles on the road.” While IBM’s newly patented machine learning invention addresses the complexity of dynamically enabling safe operation modes of an autonomous vehicle, other patented IBM inventions are focused on helping self-driving vehicles better anticipate and respond to actions of human drivers.

IBM inventors have patented numerous inventions that, among other things, can help vehicles become: 1) Self-learning – powered by cognitive capability that continuously learns and gives advice based on behavior of the driver, passengers, and other vehicles 2) Self-socializing – connecting with other vehicles and the world around them 3) Self-driving – moving from limited automation to becoming fully autonomous 4) Self-configuring – adapting to a driver’s personal preferences 5) Self-integrating – integrating into the IoT, connecting traffic, weather, and mobility events with changing location IBM has topped the list of U.S. patent recipients for 24 consecutive years.

IBM could have a solution to one of self-driving cars' biggest problems

TECHNOLOGY IBM could have a solution to one of self-driving cars' biggest problems Who should be behind the wheel, and when?

FRESCO NEWS/Mark Beach/Handout via REUTERS The dynamic between human drivers and autonomous vehicles is complicated, but researchers at IBM have patented a new cognitive system that could help determine if and when a person—or the self-driving system—should take control.

Onboard sensors would monitor physiological aspects of the human—like their heart rate, the direction of their gaze, and if their attention is focused—and the cognitive system might realize that the car is better able to safely navigate a given situation.

The system would simultaneously keep close tabs on the technical aspects of the car, looking out for obstacles or errors that might be better navigated by a human.

“What we are doing is envisioning a self-driving vehicle that is able to assess the readiness and risk associated with a human taking control of the vehicle, given some anomaly on board,” says James Kozloski, a master inventor with IBM Research who studies computational neuroscience.

In many autonomous vehicles right now, people can take over from the computer at any time by doing something like tapping the brakes or hitting a switch, Steinfeld says, regardless of whether or not it's a good idea.

As for safety in general, Steinfeld says that Waymo—Alphabet’s autonomous car company—has a lower crash-per-mile rate than regular vehicles, although humans are always present to take over.

“If you’re in a traffic jam, you kind of zone off, and are barely paying attention—you from the outside look very similar to someone who’s paying attention,” he says.

“This is why it’s a hard problem.” tags: autonomous driving self-driving cars artificial intelligence machine learning technology SPONSORED CONTENT Is algae the future of biofuels?

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Cognitive computing will help autonomous vehicles share the road

March 30, 2017 Posted in: Cognitive Computing, Internet of Things Cognitive computing will help autonomous vehicles share the road It’s no secret that automakers and technology companies are racing to develop self-driving vehicles that will transform how we travel from place to place.

For example, IBM recently partnered with Local Motors to introduce Olli, the first self driving mini-bus to integrate the power of IBM’s cognitive computing platform Watson to enable natural interaction between the vehicle and passengers.

The cognitive computing technologies could enable automakers to provide consumers with a new sense of confidence as self-driving vehicles and human drivers increasingly share the road.

U.S. Patent 9566986 (Controlling driving modes of self-driving vehicles for the invention) was inspired by our recognition that neither a human driver nor a self-driving vehicle is immune from failure while driving.

Therefore, it seemed natural to train a cognitive computing system that can estimate and quantify risk of errors based on the current state of either the driver or the self-driving vehicle.

Another patent my co-inventors and I worked on similarly recognizes that human drivers have different styles of driving that can impact safety, especially when self-driving vehicles and humans share the road.

IBM can leverage its cognitive computing capabilities around modeling human behavior and estimating confidence to help make entire transportation systems, such as shared roads, safer, regardless of which self-driving vehicle technologies and modes of operation become predominant in the next decade.

IBM Patents a Clever Self-Driving Car Innovation

has received a patent on a new learning system that lets control of a self-driving vehicle shift between a human and an artificial intelligence-based driver in the event of an emergency situation.

Basically, the system uses artificial intelligence to analyze all the available information from its senors, and determine whether the car's autonomous driving system or the human driver has the best chance of operating the vehicle safely given the problems at hand.

In theory, the system could shift control for everything from a faulty braking system to a burned-out headlight, from a limited visibility-driving situation to bad road conditions.

'Self-driving vehicles hold great promise and potential, but protecting the safety of passengers and other drivers remains a top priority for vehicle developers and manufacturers,' said IBM's Computational Neuroscience and Multiscale Brain Modeling Manager James Kozlosk.

'We are focused on finding new ways to leverage our understanding of the human brain and inventing systems that can help those enterprises improve the safety of autonomous vehicles on the road, as well as the measures they put in place to enhance the safety of human passengers and save lives.'

This is all part of an effort by the company to help the ordinary car evolve into 'a moving data center outfitted with sensors and computers that capture information about the vehicle, its driver, occupants and surroundings,' according to the company.

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