Improve the detection of critical events by recognizing contexts and correlations in situations where the sensors have weak points.
Equipped autonomous vehicles with capabilities that enable them to make the best and safest decisions in any situation and avoid accidents in road traffic.
With advancements in artificial intelligence and related technologies, cars will eventually become autonomous vehicles that are entrusted with human lives. In order for these autonomous vehicles to function properly, they must be equipped with capabilities that enable them to make the best and safest decisions in any situation.
To ensure this, the images produced by the vehicles' cameras are analyzed to identify the position of objects, the associated category, and related events to better understand the images and the situations. The systems currently available were inspired by computer vision and deep learning methods. However, they have difficulties when trying to detect small objects, objects with random geometric transformations, and when there is a lack of contrast
For this reason, EDI GmbH is working on an algorithm that will improve the detection of critical events by recognizing contexts and correlations in situations where the sensors have weak points. EDI GmbH's algorithm will also be helpful in avoiding accidents in road traffic. The detection of object and events covers a variety of important techniques, especially image processing, pattern recognition, artificial intelligence, and machine learning.