Road safety is the primary concern of computer vision in intelligent transportation.
This can be appreciated by the extent to which traffic enforcement is fully automated nowadays, with license plate recognition being the key application. As autonomous vehicles continue to advance, computer vision will remain a crucial technology in shaping the future of transportation.
A sample of computer vision applications we developed for the intelligent transportation industry:
Traffic plate detection and reading
Vehicle axle counting for free-flow tolling
Pedestrian trajectory forecasting for autonomous trams
In-vehicle mobile phone usage detection
Blog posts
Why a Timeline Profiler Finds What a Code Profiler Misses
The right profiler is not the most powerful one in the abstract. It is the one that can see the…
How We Built Metrically Accurate 3D Annotations from a Single Camera
We show how markerless camera calibration can be approached in urban environments and beyond.
AI and 3D Vision on the Renesas RZ/V2H: From Edge Processing to Smart Camera Reality
A complete AI and 3D stereo vision pipeline running on a single embedded SoC to lay the foundation…
Multi-modal foundation models out of the lab: a reality check
In this post we discuss the applicability of multi-modal foundation models (VLM) to solve real…
Onsemi Hyperlux ID AF0130: Industrial iToF Depth Sensor Evaluation
Hands-on evaluation of the Onsemi Hyperlux ID AF0130 iToF sensor. Real-world testing reveals…
Beyond the Frame: What Are Event Cameras and Why Do They Matter?
A deep dive into event cameras: the hardware, software challenges, and real-world applications of…