المملكة: Urgent accurate maps and instant update .. 5 controls governing self -driving vehicle data

The General Authority for Survey and Information has put forward the possibility of the general organizational framework for panoramic imaging, high -resolution maps and navigation applications through the “reconnaissance” platform, in a move aimed at enhancing governance and unifying organizational practices in the field of modern geometric technologies. Safe, enhancing integration with smart infrastructure in the Kingdom. The General Authority for Survey and Information has included binding policies that govern how to collect, process and use these data in self -driving systems, targeting the alignment of the outputs of these systems with national trends and technological developments. Organizational, where the regulations focus on the need to use high -resolution maps that are in line with the national standards approved by the authority. It is required that artificial intelligence -based perception systems be trained using documented and approved data groups to avoid errors or deviations in the paths. The authority also stressed the importance of combining geographical fence restrictions into the maps used, in order to prevent vehicles to enter prohibited or unauthorized areas. In order to enhance the elasticity of navigation systems against threats or damage, it is required that there are multiple repetitive layers, such as GNSS systems, darbing mode technologies, and simultaneous vision forms with maps. Systems are effective mechanisms for emergency intervention that enable operators or regulators to disable systems in the event of navigation risks or conflicting data. These maps are essential to identify the sidewalks, infantry crossings, and traffic lights, which contributes to improving the vehicle’s awareness of the surrounding environment. Vehicles must be able to receive immediate updates about obstacles, construction areas, and emergency changes on the roads. A parallel context, the organizational framework included mechanisms to use geometric data in smart cities and digital twins, where it was emphasized the need for immediate and accurate data that support the improvement of the traffic flow, the effective response to disasters, and the smart infrastructure management. Full integration between geimonial data, Internet of Things networks, surveillance systems, and smart city systems. She also stressed the importance of cooperation between the public and private sectors to enhance urban planning initiatives based on multiple sources. This data is a pivotal city planning, improving the quality of life, and enhancing the response to disasters. It also stipulated the necessity of providing safe software interfaces for municipalities that allow them to update and retrieve data instantaneously. These twins must be integrated with urban planning platforms, energy systems, and smart facilities, in addition to supporting initiatives assessing the effects of climate change, tracking environmental resources. It also contributes to improving the distribution of energy, water and waste through geimonial analyzes. It seeks to be a global center in this field through technical and vocational training programs, continuous education, and electronic courses. And medium.

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