'Naggy' Autopilot update released by Tesla leaves owners 'confused and frustrated'

Daily Mail

Tesla is updating its Autopilot software to make it clearer when drivers need to have their hands on the wheel. In the wake of a fatal Tesla crash in California, the electric car maker began flashing warnings in cars every 30 seconds that'nag' users to'hold the wheel.' But many were annoyed and confused when the warnings didn't go away, even after applying a'white knuckle death grip.' Now, Tesla boss Elon Musk says Tesla will update the system so it's not so naggy. Tesla is updating its Autopilot software to make it clearer when drivers should have their hands on the wheel. A previous update would warn drivers every 30 seconds to'hold the wheel' A Tesla owner tweeted at Musk complaining that the new Autopilot update, released a few days ago, is a'pain' and that it required him to constantly hold the wheel to keep the warnings at bay. 'Will be adjusting screen alert to clarify that we mean'slight up or downward force on the wheel,' not really'hold the wheel'', Musk replied in a tweet on Wednesday.

Tesla Autopilot System Warned Driver to Put Hands on Wheel, Investigators Say WSJD - Technology

The Model X electric, sport-utility vehicle accelerated in the final seconds to about 71 miles an hour before the March 23 crash in Mountain View, Calif., according to a preliminary report from the National Transportation Safety Board. The report comes as auto makers and Silicon Valley are testing technologies that allow for varying levels of automation behind the wheel. Those include systems with driver-assist features as well as those that enable fully self-driving vehicles. Fatal crashes have fueled concerns about whether driverless technology is ready for the real world. A Tesla spokeswoman pointed to a previous company blog post about the incident that touted the safety of its vehicles.

BlackBerry QNX launches three safety certified auto systems


BlackBerry outlined three safety certified QNX products for automotive systems. QNX is BlackBerry's automotive platform and embedded in 120 million vehicles, according to the company. 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. The company said its QNX Hypervisor for Safety, QNX Platform for ADAS 2.0, and QNX OS for Safety 2.0 are certified for ISO 26262, an auto functional safety standard. BlackBerry's safety certifications arrive as concerns about autonomous driving and software integration in vehicles mount.

Google Won't Renew Contract with Pentagon for Artificial Intelligence Project


After a corporate petition against the project in question, Google has decided it will not renew a contract dealing with the US Pentagon's Artificial Intelligence project. Thousands of Google employees signed a petition protesting the company's partnership with the Pentagon's Maven project. Several Google employees even resigned in conflict with the artificial intelligence project. One of the biggest fears of employees was that Maven would be used for lethal purposes. Google has yet to release an official statement on the matter.

Uber announces end of self-driving car operations in Arizona

FOX News

Raw video: Cameras mounted inside the car catches the fatal moment. Authorites are investigating the cause of the crash. Uber is shutting down its self-driving car operations in Arizona, but plans to continue the development of autonomous cars in other states. "We're committed to self-driving technology, and we look forward to returning to public roads in the near future. In the meantime, we remain focused on our top-to-bottom safety review, having brought on former NTSB Chair Christopher Hart to advise us on our overall safety culture," an Uber spokesperson told Fox News.

Uber shuts down self-driving operation in Arizona after fatal crash

The Guardian

Uber is to shut down its self-driving car programme in Arizona after one of its cars killed a pedestrian there in March. The company will focus its research efforts on Pittsburgh, where a number of AI car projects, including Ford's Argo AI program and Google's Waymo, are centred. Uber will also continue to test in San Francisco, where the company has its headquarters. In an internal email, the Uber executive Eric Meyhofer wrote that the company would be changing the way it tested its driverless cars. "When we get back on the road, we intend to drive in a much more limited way to test specific use cases," he said.

The new commute: How driverless cars, hyperloop, and drones will change our travel plans


Articles about technology and the future of transportation rarely used to get far without mentioning jetpacks: a staple of science fiction from the 1920s onwards, the jetpack became a reality in the 1960s in the shape of devices such as the Bell Rocket Belt. But despite many similar efforts, the skies over our cities remain stubbornly free of jetpack-toting commuters. For a novel form of transport to make a material difference to our lives, several key requirements must be satisfied. Obviously the new technology must work safely, and operate within an appropriate regulatory framework. But public acceptance and solid business models are also vital if a new idea is to move from R&D lab to testbed to early adoption, and eventually into mainstream usage.

Examples of Artificial Intelligence Applications in Transportation Lanner


From the first mass produced cars to passenger aircraft breaking the sound barrier, there have been numerous advances within the area of transportation that have had a profound effect on the way in which we approach travel and transport. However, the latest technological advance to begin to revolutionize transportation may come to dwarf any and all that arrived before it. And its uses are many. In this article, we'll being looking at a few examples of artificial intelligence within transportation and how it is helping to meet several of the most common and persistent challenges in this area. There are several challenges that are persistent throughout the transportation industry and that have plagued this sector ever since its inception.

People are losing faith in self-driving cars following recent fatal crashes


For a while, people were really excited about the potential of self-driving cars, which promised to make our future commutes easier, more productive, and safer. Then came some high-profile autonomous vehicle accidents -- including two fatal crashes -- and let's just say the excitement has waned a bit. SEE ALSO: Tesla's Autopilot fails haven't shaken my faith in self-driving cars. A new survey released Tuesday by the American Automobile Association found that 73 percent of American drivers are scared to ride in an autonomous vehicle. That figure is up 10 percent from the end of last year.

MIT teaches self-driving cars to change lanes like real drivers


Autonomous vehicles really don't know how to switch lanes as well as people do. They tend to rely on either relatively static data models that are difficult to study in the thick of traffic, or are basic enough that the car might only change lanes when it's absolutely necessary -- that is, hardly at all. MIT's CSAIL has a better way. The school has developed an algorithm that changes lanes more like humans do while respecting road safety. The new technique is a modification of a familiar concept of "buffer zones" that determine where other cars are going and how likely the driverless vehicle is to avoid a collision.