Lane Identification Pro : Lane Detection (ADAS)

Lane Identification Pro demonstrates how one can repurpose your outdated phone/tablet as a driving assist software. Interested in self driving cars and autonomous driving systems? This app will present you with a sneak peak on how lane identification on some of these autonomous driving methods work. The app runs greatest on the latest technology of phones and tablets but is designed to optimize efficiency on older hardware as nicely.

Lane Identification Pro is smart. It monitors the efficiency of its algorithms in your device and tweaks their settings as wanted 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 primarily based on the place lanes are being identified in the camera view. Note these are not one time calibrations. The auto calibration algorithms continuously run within the background to provide the finest outcomes always.

If you would possibly be nonetheless experiencing efficiency issues or want to play with a few of the settings, please discuss with the Troubleshooting Tips and Help sections within the app. You will be succesful of switch your view between the unique image, filtered picture for driving lane detection or the output of the canny edge detection algorithm used to identify lane strains. You also can enable/disable lane stabilization and configure the area of interest which represents the realm of the display screen we count on the driving lanes to be present in. The app can also detect if you end up drifting out of your lane and provide you with a warning 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 course of.

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

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

* Configure the high and low thresholds for Canny edge detection together with the aperture dimension and whether or not to make use of a L1/L2 gradient.

* Configure the brink for the probabilistic Hough Transform used to detect lane strains along with the min line size and max line gap

* Configure parameters for lane stabilization and ignoring bad detection.

* Configure parameters for Lane Departure Warnings (LDW).

More features coming soon!