LiDAR (Light Detection and Ranging)

This advanced remote sensing method uses laser pulses to measure distances and create highly accurate three-dimensional maps of the environment. These maps provide detailed spatial data that are invaluable for urban planning, transportation systems, and environmental management.
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Technology Readiness Level (TRL)

Technology Readiness Level (TRL)

Ready for Implementation

Technology is developed and qualified. It is readily available for implementation but the market is not entirely familiar with the technology.

LiDAR (Light Detection and Ranging)

Light Detection and Ranging (LiDAR) technology provides precise, real-time data that can enhance city planning, transportation systems, and environmental monitoring. Often referred to as laser scanning, this remote sensing technology measures distances by illuminating a target with laser light and analysing the reflected light.

LiDAR systems consist of a laser, a scanner, and a GPS receiver, and they can be mounted on vehicles, drones, satellites, stationary platforms or even smartphones. They work by emitting rapid laser pulses and capturing the time it takes for these pulses to bounce back from surfaces, allowing for precise measurements and high-resolution 3D modelling. This data is used to monitor traffic flow, assess the structural integrity of infrastructure, map green spaces, and manage utility networks.

The primary function of LiDAR is to produce detailed, high-resolution spatial data, which is invaluable for urban planning and management. For instance, in transportation, LiDAR can monitor traffic flow and density in real-time, helping to reduce congestion and optimise traffic light timings, making it an essential feature of self-driving vehicles. In environmental management, it can map green spaces, monitor tree canopies, and assess air quality, contributing to more sustainable urban development. Additionally, LiDAR is instrumental in infrastructure maintenance, detecting structural issues in buildings, bridges, and roads before they become critical problems.

Moreover, by integrating this solution into urban systems, cities can enhance their resilience to climate change challenges. For example, LiDAR can model flood risks by mapping terrain elevations and water flow patterns, empowering cities to implement effective flood mitigation strategies. In disaster response, LiDAR's quick, detailed assessments of affected areas significantly improve emergency services' response times and effectiveness.

Future Perspectives

Since LiDAR helps visualize the world in a three-dimensional manner, including exact measurements for any objects, it is also slowly making its way into XR goggles and consumer mobile devices as it gets smaller, faster, and more accurate. It would accelerate augmented and virtual reality applications for the masses, thus enhancing volumetric video production, real-time digital content layering of environments, and bringing more possibilities to spatial gaming for designers and players.

As this technology becomes readily available for the end consumer, it raises privacy and cybersecurity concerns as this could be a step forward for digital surveillance or espionage. These detailed 3D maps of private areas could be unwillingly accessed and used as an intimate surveillance tool.

Image generated by Envisioning using Midjourney

Sources
With some help from Luminar and its 22-year-old CEO Austin Russell.
LIDAR range scans can be used to quickly create accurate 3D models for virtual reality and as a basis to visualize sets of photographs, videos, and virtual objects in a cohesive environment. The number of existing virtual reality programs that use LIDAR data as input has motivated our group to develop methods for fusing images with 3D scans and for augmenting the scans with both dynamic objects present in videos and virtual models. Bringing together as many data sources as possible increases users' abilities to present related information in one, intuitive venue. We demonstrate how to register a variety of 2D imagery with a range scan to construct photo-realistic models and to extract walking people captured in videos and model them in a 3D space. We also present a method for determining the sun position from a set of stitched photographs in order to apply correct lighting to virtual objects placed amongst real world data. Naturally lit objects can be inserted into original photographs using our 2D-3D registration information. These methods are all combined to display and study photos, videos, and virtual objects in a complete 3D environment.
The breakthrough LiDAR Scanner enables capabilities never before possible on any mobile device. The LiDAR Scanner measures the distance to surrounding objects up to 5 meters away, works both indoors and outdoors, and operates at the photon level at nano-second speeds. New depth frameworks in iPadOS combine depth points measured by the LiDAR Scanner, data from both cameras and motion sensors, and is enhanced by computer vision algorithms on the A12Z Bionic for a more detailed understanding of a scene. The tight integration of these elements enables a whole new class of AR experiences on iPad Pro.
At Voyage we recently shared the news of Homer, our first self-driving taxi. Homer is outfitted with a whole range of sensors to aid in understanding and navigating the world, key to which is LIDAR…

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