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Enabling self-driving cars to use advanced-AI functionalities safely
The SAFEXPLAIN automotive case study develops advanced methods and procedures that enable self-driving cars to accurately detect road users, estimate their distance from the vehicle, and predict their trajectories.These capabilities are vital for making timely decisions and executing appropriate collision avoidance maneuvers. By incorporating this technology, self-driving cars can navigate complex traffic scenarios while ensuring the safety of pedestrians, cyclists, and other vulnerable road users.
SAFEXPLAIN partner NAVINFO Europe is working to prepare the algorithms and all the environmental tools needed to run and simulate their operational scenarios. Stubbing (simulating) the inputs and outputs of the algorithms is essential to avoid buying costly devices and instruments and recreating complex subsystems and interfaces, which in any case fall out of the scope of the project. With proper software stubbing, the system can tightly mimic the operations in the real scenario.
For updates check the https://safexplain.eu/requirements-and-testing-first-activities-for-spa…
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