Welcome to the future of insurance, as seen through the eyes of Scott, a customer in the year 2030. Upon hopping into the arriving car, Scott decides he wants to drive today and moves the car into "active" mode. Scott's personal assistant maps out a potential route and shares it with his mobility insurer, which immediately responds with an alternate route that has a much lower likelihood of accidents and auto damage as well as the calculated adjustment to his monthly premium. Scott's assistant notifies him that his mobility insurance premium will increase by 4 to 8 percent based on the route he selects and the volume and distribution of other cars on the road. It also alerts him that his life insurance policy, which is now priced on a "pay-as-you-live" basis, will increase by 2 percent for this quarter. The additional amounts are automatically debited from his bank account. When Scott pulls into his destination's parking lot, his car bumps into one of several parking signs.

Have you ever pondered about how seamlessly we can drive a car, and why is it so difficult to get a computer to drive a car? It's because our minds are highly evolved and complex and embedding this complexity into a computer is challenging. And today we will cover a tiny fraction of our journey towards achieving self-driving cars. The task I will be discussing in this post is called semantic segmentation. Segmentation as the name suggests is the act of dividing something into separate parts.

Apple Inc. is pushing to accelerate development of its electric car and is refocusing the project around full self-driving capabilities, according to people familiar with the matter, aiming to solve a technical challenge that has bedeviled the auto industry. For the past several years, Apple's car team had explored two simultaneous paths: creating a model with limited self-driving capabilities focused on steering and acceleration -- similar to most current cars from Tesla Inc. -- or a version with full self-driving ability that doesn't require human intervention. Under the effort's new leader -- Apple Watch software executive Kevin Lynch -- engineers are now concentrating on the second option. Lynch is pushing for a car with a full self-driving system in the first version, said the people, who asked not to be identified because the deliberations are private. It's just the latest shift for the car effort, known as the Special Projects Group or "Project Titan," which has endured strategy changes and executive turnover since starting around 2014.

Apple Inc. is pushing to accelerate development of its electric car and is refocusing the project around full self-driving capabilities, according to people familiar with the matter, aiming to solve a technical challenge that has bedeviled the auto industry. For the past several years, Apple's car team had explored two simultaneous paths: creating a model with limited self-driving capabilities focused on steering and acceleration -- similar to many current cars -- or a version with full self-driving ability that doesn't require human intervention.

Apple Inc. is pushing to accelerate development of its electric car and is refocusing the project around full self-driving capabilities, according to people familiar with the matter, aiming to solve a technical challenge that has bedeviled the auto industry. For the past several years, Apple's car team had explored two simultaneous paths: creating a model with limited self-driving capabilities focused on steering and acceleration -- similar to most current cars from Tesla Inc. -- or a version with full self-driving ability that doesn't require human intervention. Under the effort's new leader -- Apple Watch software executive Kevin Lynch -- engineers are now concentrating on the second option. Lynch is pushing for a car with a full self-driving system in the first version, said the people, who asked not to be identified because the deliberations are private. It's just the latest shift for the car effort, known as the Special Projects Group or "Project Titan," which has endured strategy changes and executive turnover since starting around 2014.

The Lone Star State may become a little lonelier -- at least when it comes to big-rig trucking. Waymo, the self-driving vehicle division of Google parent Alphabet, is about to start mapping in Texas and New Mexico as a prelude to testing its self-driving big-rig trucks. The mapping minivans, to be followed by the large trucks, will run primarily along Interstates 10, 20 and 45 and through metropolitan areas like El Paso, Dallas and Houston, the company said. Waymo previously mapped and tested its big rigs in Arizona, California and Georgia. The latest move will add to that footprint as the company moves toward its vision of big rigs rolling down interstates with no one at the wheel, their sensors and computers making them safer than if they have a human in control. Though Waymo doesn't appear to have any specific customers in mind yet -- the big rigs won't be hauling freight during the test and will have a standby driver on board -- the routes through Texas hold special appeal partly because the state is especially eager to accommodate autonomous-vehicle experiments.

Stanford engineers have redesigned an iconic 1981 DeLorean with a futuristic feature that Dr. Emmett Brown didn't think of –self-driving capabilities. The vehicle, referred to as MARTY, has been converted into an all-electric, self-driving machine that boasts custom suspension and onboard computers. The team designed the vintage car to also drift in a bid to develop automated vehicles that can use all of the friction between the tires in order to'avoid any accident that is avoidable within the laws of physics'. The MARTY, which stands for Multiple Actuator Research Test bed for Yaw control, was develop by a team at Stanford's Dynamic Design Lab, which first designed to car to drift – a style of driving where the car moves forward but in a sideways position. Stanford engineers have redesigned an iconic 1981 DeLorean with a futuristic feature that Dr. Emmett Brown didn't think of –self-driving capabilities.

Hyundai is set to release a fleet of robo-taxis on the public streets of Irvine, California next week. Although the crossovers will be equipped with a self-driving system from Chinese startup Pony.ai, a human will be seated at the wheel during this trial. The South Korean carmaker is using what it deems'BotRide' to study how people behave in an autonomous ride share. Hyundai is set to release a fleet of robo-taxis on the public streets of Irvine, California next week. Although the crossovers will be equipped with a self-driving system from Chinese startup Pony.ai, a human will be seated at the wheel during this trial To summon the robotic vehicle, customers will order rides through a smartphone app, which will direct passengers to nearby stops for pickup and drop-off.

That's because Tesla has created "the best chip in the world." Yes, the car is moving with no one inside. But we'll forgive you if you're a little unnerved at first. Tesla owners have flooded social media with videos depicting the newest feature of their cars: the ability to use their phones to tell their cars to drive themselves from parking spots to the curb, where the owner is standing. Called "Smart Summon," the feature is part of Tesla's 10.0 software update, which is delivered wirelessly.

A new video shows Tesla's full self-driving technology out in the wild. In the nearly two-minute clip, a Tesla can be seen stopping at intersections, driving down highways and suburban roads, navigating exit ramps and changing lanes, all without the driver ever touching the wheel. The vehicle travels at about 45 miles per hour on average throughout the clip and is even able to put itself in park when it finishes navigating the route. The video comes after Elon Musk on Monday talked up Tesla's progress in bringing fully autonomous vehicles to the masses at the company's Autonomy Day. According to Musk, every Tesla has the hardware necessary to carry out full self-driving like what is shown in the video.