Vehicles have a number of camera sensors both outside and inside. These cameras are for assisting the driver in driving, they are put to use for human vision or machine vision. With numerous cameras already in place, there is a necessity for utilizing them for both machine vision along with human vision, this calls for the requirement for dedicated imaging algorithms working with the raw video feed from the camera making them suitable for the application.

With safety being a top priority of new car buyers acceptance of the camera for the driver-assist system is rapidly on the rise.

Regulations also direct numerous safety features for drivers and also for the people, who are walking on the roads with several such features making use of the camera as the main sensor.

First, these are the cameras used in the automotive industry, mainly as a part of ADAS

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Overall, due to its applications cameras are divided into stereo and monocular, the same is appropriate for automotive also.

Monocular cameras for ADAS: These are normal camera modules with their main function being monitoring, in automotive ADAS these are used in BSD, Park assists, Surround-view, etc. The advantage of monocular cameras are they are portable, easy to fix and calibrate. Though main disadvantage is object discovery is not as effective for the liking of each and every driver.

Stereo cameras for ADAS: These capture depth info of the surrounding, and this helps in comprehensive mapping for L3+ uses where a car makes the decision of avoiding acceptance. Stereo cameras are similar to the human eye where they can effortlessly distinguish objects form diverse lengths and distances between them.

Exterior Camera Imaging Algorithms

Some extreme conditions that cameras are outside the car are weather conditions for example rain, sunlight, and other lighting conditions produced as a result of change in the environment.

Interior Camera Imaging Algorithms

Cameras employed in exterior for ADAS applications and AD. Until there is full autonomy there is a requirement for human monitoring inside the cabin for exhaustion and other behaviors. Driver monitoring is one such application where a camera is put to use for monitoring the driver status, for AD this can be additionally upgraded for the authentication of the users.