Smart Cities — Is LiDAR Making Them Smarter?

Smart Cities
Figure 2: Velodyne Surround View LIDAR at Traffic Intersection
  1. Privacy: unlike cameras, LiDAR point clouds can recognize objects (car vs pedestrian) but do not have the resolution to identify people (this is Elon Musk). As concerns about about “Big Brother” surveillance accelerate, data privacy becomes an important consideration in advanced democracies, and LiDAR is more easily able to gain public acceptance over classical high resolution cameras.
  2. Coverage: A surround view LiDAR can cover a large range and Field of View (FoV). Cameras have limited range and FoV, especially in bad lighting conditions and weather. This requires multiple cameras which incur significant “stitching” software, hardware and installations costs.
  3. 3D Information and Situational Awareness: data from cameras in fixed locations can be used to extract 3D information (with reference to street maps and known landmarks), however, it is time consuming, may not be accurate due to obsolete maps and changing infrastructure.
Figure 3: Busy Traffic Intersection Showing Conflict Between Pedestrians and Cars
Figure 4: Outsight’s Augmented LiDAR Box Provides a Universal Interface to Over 100 Different LiDAR
Figure 5: Charles De Gaulle Airport Terminal as Seen by Outsight’s Augmented LiDAR Enables Precise … [+]
Figure 6: Various Airport Tracking Applications
Figure 7: Left: Video RGB data in Low Light Conditions. Right: LiDAR Enhanced Video RGB Data

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Fountech Ventures

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We embrace startups that deploy artificial intelligence at its core. We are Fountech Ventures, Deep Tech AI Venture Builders.

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