High-resolution direct time-of-flight LiDAR brings spatial intelligence to edge AI
By Laurent Plaza
Artificial intelligence (AI) is moving out of the cloud and into physical environments, and machines are now being asked to do much more than simply process data. They must perceive, understand, and interact with the real world in real time. Whether navigating a warehouse, monitoring occupancy inside a smart building, assisting healthcare professionals, or enabling gesture-based interaction for augmented reality systems, these applications all depend on one critical capability: Spatial awareness.
For years, time-of-flight (ToF) sensing has powered depth-related applications in consumer electronics—particularly smartphone autofocus and user-interaction systems. But advances in sensor architecture, optics, and edge computing are expanding the technology’s reach. The next phase of ToF extends beyond simply measuring distance by generating AI-ready spatial data to allow machines to understand their surroundings while operating within tight size, power, and cost constraints.
This evolution is seen in direct ToF (dToF) three-dimensional (3D) light detection and ranging...
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