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Main Features
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Developments
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Introduction to Trajectory Analyzer
What data do we need for training an AV motion planner
Introducing 4D-Trajectory
Trajectory optimization for urban driving among decision-making vehicles (Javier Alonso-Mora)
City-Wide AI Engine for Multi-Camera ANPR Trajectory Tracking and Urban Traffic Analytics
Digital Twin Autonomous Driving | Multi-Sensor fusion
VANTRA: City-Wide AI Engine for Multi-Camera ANPR Trajectory Tracking | SIH 2026
Drone Traffic Analytics with #YOLOv8 | Real-Time Congestion Maps
Operations & Planning for Connected AV: From Trajectory Control to Capacity Analysis
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Last Updated: October 2, 2026
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Summary
More details are available here: up-count.github.io/ AI Vision sources + Community → skool.com/ai-vision-academy Learn how to detect, AVTECH Sweden AB works with 4D- Javier Alonso-Mora, an associate professor in the Department of Cognitive Robotics, Faculty 3mE, TU Delft, presented an ... City-Wide AI Engine for Multi-Camera ANPR This video demonstrates our autonomous driving sudden obstacle scenario in a Digital Twin virtual road environment. During the ... VANTRA turns unreliable per-camera plate reads into one evidence-backed route. One vehicle, one trail, across every camera in ... Real-time aerial traffic analytics built on a YOLOv8 model fine-tuned for drone imagery — detecting, classifying and Thursday, August 16, 2018, 12:00PM (ET) Increasing congestion, excessive fuel consumption and emissions, and unacceptable ...