25 mars 2019

New Tesla software to offer 'full' autonomy, Musk says

New Tesla software to offer 'full' autonomy, Musk says An update to Tesla's Autopilot software coming in August will enable "full self-driving features" for the automaker's electric cars, chief executive Elon Musk says. Musk's comments come amid a race by automakers and tech firms to roll out fully autonomous vehicles, but also rising concerns about the safety of robotic systems. The Tesla founder made the disclosure in a Twitter conversation, responding to a user who complained about issues with Autopilot, which is currently... [Lire la suite]
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19 mars 2019

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ?

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ? A general usage self-Driving vehicle is an object that picks you at a point A (that may be anywhere) and takes you to a point B (that may be any reachable point from A), as fast as possible, in comfort and safety.And that's it (main features).   Now let's see each feature : a . as far as possible : it is the actual efficiency of transportation, as mobility is a key element of Economy b . comfort : it... [Lire la suite]
25 juillet 2018

Tesla will start rolling out its ‘full self-driving’ package in August, Elon Musk says

Tesla will start rolling out its ‘full self-driving’ package in August, Elon Musk says Over the weekend, avid Twitter user Elon Musk said that Tesla’s “long awaited” Version 9 of Autopilot would begin rolling out this August. “To date, Autopilot resources have rightly focused entirely on safety,” Musk tweeted. “With V9, we will begin to enable full self-driving features.” This would appear to put Musk on track to achieve the promise he made two years ago to offer “full self-driving” capabilities to Tesla owners by 2019. At the... [Lire la suite]
18 juin 2018

The most impressive things Tesla's cars can do in Autopilot

The most impressive things Tesla's cars can do in Autopilot Tesla's Autopilot feature gives its cars semi-autonomous capabilities. While driving with Autopilot activated, a Tesla vehicle can regulate its speed, change lanes, and park without driver assistance. Tesla customers can buy the Autopilot feature for $5,000. Tesla's Autopilot feature has become the subject of controversy after a Model S crashed into a fire truck on January 22 while possibly using the feature. The National Transportation Safety Board... [Lire la suite]
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10 juin 2018

First look at Tesla’s latest Autopilot (2.5) computer in Model 3, S, and X vehicles

First look at Tesla’s latest Autopilot (2.5) computer in Model 3, S, and X vehicles Tesla recently updated its onboard media computer, but the automaker also has a separate custom Autopilot computer to power its driver assist features and eventually, its self-driving capabilities. Today, we get out first look at Tesla’s latest version of this Autopilot (2.5) computer in current Model 3, Model S, and Model X vehicles. Last fall, Tesla introduced a new Autopilot hardware suite, dubbed “2.5”, in all its... [Lire la suite]
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06 mai 2018

Business models will drive the future of autonomous vehicles

Business models will drive the future of autonomous vehicles   “The technology is essentially here… We have machines that can make a bunch of quick decisions that could drastically reduce traffic fatalities, drastically improve the efficiency of our transportation grid, and help solve things like carbon emissions that are causing the warming of the planet.” Interestingly, this statement didn’t come from a futurist like Elon Musk or Mark Zuckerberg or Jeff Bezos; this was President Obama discussing autonomous vehicles in an... [Lire la suite]
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11 avril 2018

After fatal Uber and Tesla crashes, self-driving car tech companies band together

  The autonomous car industry has a perception problem — and now a group of related companies has banded together to try to solve it. Uber's fatal crash last month was the first self-driving car accident to kill a pedestrian. Then a Tesla Model X in autopilot mode left the driver dead after a fiery crash into a California highway barrier. Following its deadly accident in Tempe, Arizona, Uber halted all its self-driving testing, as did companies such as Nvidia and Toyota. A group of tech and transportation companies involved in... [Lire la suite]
15 mars 2018

Who's driving? Autonomous cars may be entering the most dangerous phase

Who's driving? Autonomous cars may be entering the most dangerous phase Autopilot controls are not yet fully capable of functioning without human intervention – but they’re good enough to lull us into a false sense of security.   When California police officers approached a Tesla stopped in the centre of a five-lane highway outside San Francisco last week, they found a man asleep at the wheel. The driver, who was arrested on suspicion of drunk driving, told them his car was in “autopilot”, Tesla’s semi-autonomous... [Lire la suite]
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29 décembre 2017

Presentation video of the real time driving risk assessment module SafetyNex

Presentation video of the real time driving risk assessment module SafetyNex SafetyNex estimates driving risk 20 times per second, and alerts driver when risk increases too much, letting time toslow down and avoid accident. NEXYAD has been developing this module that is already under deployment for car insurance and professional fleets (decrease the accident rate because driver is alerted and can avoid some accidents).SafetyNex is also under integration into ADAS (Advanced Driver Assistance Systems) and Autopilots because for those... [Lire la suite]
12 décembre 2017

SafetyNex (real time driving risk assessment smartphone App) can alert driver before danger and then reduce accident rate by 20%

SafetyNex (real time driving risk assessment smartphone App) can alert driver before danger and then reduce accident rate by 20% The company NEXYAD recently launched their smartphone App SafetyNex. SafetyNex analyses driving behaviour in real time and estimates the degree of adequation of this driving behaviour to road context. In the low cost implementation, context is only the road infrastructure configuration : distances, curves, intersections, functionalities of infrastructure (pedestrian crossing, school, ...) and traffic signs... [Lire la suite]