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Lane Identification Pro : Lane Detection (ADAS)

Lane Identification Pro : Lane Detection (ADAS) на пк

3.7Version: 2.30

Vembar LLC

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Скачать Lane Identification Pro : Lane Detection (ADAS) на ПК с помощью эмулятора GameLoop

Lane Identification Pro : Lane Detection (ADAS) на ПК

Lane Identification Pro : Lane Detection (ADAS), исходящий от разработчика Vembar LLC, в прошлом работал на системе Android.

Теперь вы можете без проблем играть в Lane Identification Pro : Lane Detection (ADAS) на ПК с помощью GameLoop.

Загрузите его в библиотеке GameLoop или результатах поиска. Больше не нужно смотреть на аккумулятор или разочаровывать звонки в неподходящее время.

Просто наслаждайтесь Lane Identification Pro : Lane Detection (ADAS) на ПК на большом экране бесплатно!

Lane Identification Pro : Lane Detection (ADAS) Введение

Lane Identification Pro demonstrates how you can repurpose your old phone/tablet as a driving assist tool. Interested in self driving cars and autonomous driving systems? This app will give you a sneak peak on how lane identification on some of these autonomous driving systems work. The app runs best on the latest generation of phones and tablets but is designed to optimize performance on older hardware as well.

Lane Identification Pro is smart. It monitors the performance of its algorithms on your device and tweaks their settings as needed to give you the best results. The app will automatically calibrate the performance settings to match your device's capabilities and adjust the Region of Interest and Lane Departure Warning settings based on where lanes are being identified in the camera view. Note these are not one time calibrations. The auto calibration algorithms constantly run in the background to give you the best results at all times.

If you are still experiencing performance issues or want to play with some of the settings, please refer to the "Troubleshooting Tips" and "Help" sections in the app. You will be able to switch your view between the original image, filtered image for driving lane detection or the output of the canny edge detection algorithm used to identify lane lines. You can also enable/disable lane stabilization and configure the "region of interest" which represents the area of the screen we expect the driving lanes to be present in. The app can also detect when you are drifting out of your lane and alert you with a Lane Departure Warning (LDW).

Interested in more advanced settings? We give you full control of the parameters that go into the driving lane identification process.

* Enable/disable automatic detection of white level threshold used to tease out the lane lines or specify your custom value.

* Specify whether you want to apply Gaussian blur to the result (including the kernel size)

* Configure the low and high thresholds for Canny edge detection including the aperture size and whether to use a L1/L2 gradient.

* Configure the threshold for the probabilistic Hough Transform used to detect lane lines along with the min line length and max line gap

* Configure parameters for lane stabilization and ignoring bad detection.

* Configure parameters for Lane Departure Warnings (LDW).

More features coming soon!

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Теги

Auto-&

Информация

  • Разработчик

    Vembar LLC

  • Последняя версия

    2.30

  • Последнее обновление

    2018-06-30

  • Категория

    Auto-vehicles

  • Доступно на

    Google Play

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Как играть в Lane Identification Pro : Lane Detection (ADAS) с GameLoop на ПК

1. Загрузите GameLoop с официального сайта, затем запустите исполняемый файл для установки GameLoop.

2. Откройте GameLoop и выполните поиск Lane Identification Pro : Lane Detection (ADAS), найдите Lane Identification Pro : Lane Detection (ADAS) в результатах поиска и нажмите Установить.

3. Наслаждайтесь игрой в Lane Identification Pro : Lane Detection (ADAS) на GameLoop.

Lane Identification Pro : Lane Detection (ADAS)

Auto & Vehicles
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Minimum requirements

OS

Windows 8.1 64-bit or Windows 10 64-bit

GPU

GTX 1050

CPU

i3-8300

Memory

8GB RAM

Storage

1GB available space

Recommended requirements

OS

Windows 8.1 64-bit or Windows 10 64-bit

GPU

GTX 1050

CPU

i3-9320

Memory

16GB RAM

Storage

1GB available space

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