Spatial Computing

By combining elements of computer vision, sensor technologies, and spatial mapping techniques,  digital representations of physical spaces can be created. This solution improves the spatial understanding of machines and a user's mixed-reality experience, enhancing real-time decision-making in areas such as traffic management, resource distribution, and urban planning.
Spatial Computing

This solution integrates the physical and digital worlds, allowing for seamless interaction between humans, machines, and the three-dimensional space around them. At its core, Spatial Computing relies on the ability to perceive and understand the physical world through various sensors like cameras, 3D cameras, depth sensors, spatial trackers, and GPS, among others. These sensors capture real-time information about the surrounding environment, including the user's position, movement, and the objects and surfaces around the user. The captured data are then processed and analysed using computer vision algorithms and spatial mapping techniques to create a digital representation of the physical space. This digital representation, often called a spatial map or point cloud, allows the system to understand the geometry, layout, and characteristics of the real-world environment.

Once the digital representation of the physical space is established, Spatial Computing enables the seamless integration of virtual content into the user's perception of reality by digitally overlaying or replicating the surrounding area. This can be achieved through various display devices, such as head-mounted displays, smartphones, projection systems, specific controllers, and haptic devices.

The primary appeal of spatial computing in urban contexts lies in its ability to manage and optimise space, a scarce resource in many cities. For instance, it can transform traffic management systems by predicting and alleviating congestion patterns, thus reducing commute times and carbon emissions. Similarly, in urban planning, spatial computing can simulate and visualise the impact of proposed buildings or infrastructures before they are constructed, ensuring optimal use of every square metre. This technology also supports emergency response units by creating more efficient routes and strategies in real-time, potentially saving lives during critical incidents.

Moreover, spatial computing facilitates a new level of interaction between city dwellers and their environment. Through augmented reality (AR) overlays, residents and visitors can receive real-time information about their surroundings, enhancing navigation and providing a richer experience of city life.

As urban populations continue to grow, the pressure on infrastructure and resources will intensify. However, with the advent of spatial computing, we have a powerful tool at our disposal. This technology offers a forward-thinking approach to these challenges, making it an essential component of smart city strategies. It not only promises to improve quality of life but also aims to make cities more sustainable and efficient. By integrating digital information with real-world elements, spatial computing holds the potential to transform urban areas into more livable, manageable, and engaging spaces, ushering in a new era of urban development.

TRL
8/9Deployed
Category
Affordable and Sustainable Transport
By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older persons.

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