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    Monday, December 2, 2019

    Self-Driving Cars Vehicle to vehicle communication can prevent about 615,000 motor vehicle crashes

    Self-Driving Cars Vehicle to vehicle communication can prevent about 615,000 motor vehicle crashes


    Vehicle to vehicle communication can prevent about 615,000 motor vehicle crashes

    Posted: 02 Dec 2019 02:33 AM PST

    Vehicle to vehicle communication can prevent about 615,000 motor vehicle crashes

    According to the National Highway Traffic Safety Administration (NHTSA), vehicle-to-vehicle (V2V) communication can wirelessly exchange information about the speed and position of surrounding vehicles and can help prevent accidents, ease traffic congestion and improve the environment. For this technology to work, the automobile industry has to come together, making sure that all vehicles on the road communicate with each other. In such a scenario, theoretically, insurance rates should decrease for cars of all categories.

    https://www.zimlon.com/b/vehicle-to-vehicle-communication-can-prevent-about-615000-motor-vehicle-crashes-cm541/

    https://preview.redd.it/ekjcje5977241.jpg?width=1600&format=pjpg&auto=webp&s=7c54b23384162441e5e6a7fa85c947fce82ed2aa

    submitted by /u/gannonschermerhorn
    [link] [comments]

    Comma.ai OpenPilot 0.6.6 on rural highways (unedited timelapse).

    Posted: 02 Dec 2019 03:32 AM PST

    Daimler starts pilot testing of self-driving Mercedes S-class taxis

    Posted: 02 Dec 2019 02:05 PM PST

    Udacity Self Driving Car Engineer Nanodegree Review: Is it worth?

    Posted: 02 Dec 2019 09:47 AM PST

    Large-Scale Object Mining for Object Discovery from Unlabeled Video

    Posted: 02 Dec 2019 04:52 AM PST

    Here's a cool paper on discovering new object categories in raw, unlabelled video.

    Abstract—This paper addresses the problem of object discovery from unlabeled driving videos captured in a realistic automotive setting. Identifying recurring object categories in such raw video streams is a very challenging problem. Not only do object candidates first have to be localized in the input images, but many interesting object categories occur relatively infrequently. Object discovery will therefore have to deal with the difficulties of operating in the long tail of the object distribution. We demonstrate the feasibility of performing fully automatic object discovery in such a setting by mining object tracks using a generic object tracker. In order to facilitate further research in object discovery, we release a collection of more than 360,000 automatically mined object tracks from 10+ hours of video data (560,000 frames). We use this dataset to evaluate the suitability of different feature representations and clustering strategies for object discovery.

    Figure 1: https://i.imgur.com/EyfwP8r.jpg

    submitted by /u/strangecosmos
    [link] [comments]

    Bosch Vehicle Spotted on A81 – The Last Driver License Holder…

    Posted: 02 Dec 2019 07:30 AM PST

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