The need for a vehicle camera strategy

Starting with the now commonplace rear-view camera, cars rely on cameras for a wide range of features, including bird’s-eye views, obstacle detection, driver monitoring, and even side mirror replacement. Autonomous vehicles rely even more heavily on camera images to complement their lidar and radar sensors. All this means that having an effective and well-implemented camera strategy for your automotive development efforts is more important than ever.

Vehicle camera systems require support for multiple cameras, as well as for both human and machine vision technologies

Designing vehicle camera systems requires optimizing a complex system of cameras in a moving and dynamic environment. Further, such cameras have to be designed for computer vision in addition to human vision. The finished system needs to work reliably in all conditions, as well as meet exacting automotive industry safety standards. Along with the overall system challenges, specific image quality challenges include providing excellent auto-exposure and accurate rendering of High Dynamic Range scenes.

DxOMark Solutions and Services

Our experience in designing complex test scenarios will help ensure that your solution works in real-world conditions and is ready for speedy qualification and certification. Specifically:

Consulting and Benchmarking: We can help your team with its camera architecture and product design choices, as well as with creating vendor specifications, performance goals, and milestones. During the development process, in addition to progress reports, we can provide you with camera module benchmarks specific to automotive cameras to help you select components with the right specifications to achieve your desired results.

Further, we can perform a complete evaluation of your ADAS system to identify its strengths and weaknesses. Based on this analysis, our engineers can provide you with detailed ISP tuning advice to help improve your cameras. Further, we can evaluate the quantity and quality of your ADAS camera system’s output, which plays an important role in assessing specific Machine Vision use cases such as object recognition and detection. Learn more. 

Analyzer: We also offer Analyzer, a complete hardware and software lab and measurement solution. You can use Analyzer for component-level and system-level measurements such as glass-to-glass and 360° surround view; to test camera performance (color, texture and contrast) in an HDR environment; and also to perform dedicated Flickering tests. Analyzer’s in-depth video analysis includes assessing automatic white balance, automatic exposure, texture, noise, and stabilization under challenging lighting scenarios simulated by our Automated Lighting System (ALS). Learn more.