intersection

ABOUT THE SYSTEM

Key features of our system

High-Resolution Analysis

High Robustness

High Accuracy

Pixel Level Video Stabilization

Car Pose Estimation

Lost and Missing Vehicles Re-matching

Semantic Segmentation

Fusion of Deep Learning and Traditional Method

System Overview

This system, applicable in particular to road traffic analysis, uses drone/Unmanned Aerial Vehicle (UAV) videos. Video data from drones/UAVs are stabilized first, and then be processed through the automatic detection and tracking system based on state-of-the-art algorithms. This system also further corrects vehicles’ tracking areas based on vehicles’ moving conditions and detection results to provide more accurate outputs, especially for turning vehicles. Based on the detection and tracking results, the systems can generate the following types of outputs using drone/UAV video data:

  •  ·Trajectory data of road users including vehicles and vulnerable road users
  •  ·Road users’ classifications
  •  ·Traffic statistics (e.g., volume, speed)
  •  ·Safety indicators (e.g., Post-Encroachment Time (PET))

The system can be applied for drone videos that are collected from different types of roadways, including freeway, arterial, and intersection.

  View More Example

Buildings
6000+
Hours Testing
20000+
Sample Size
20+
publication
5
Univerisity partners

THE TEAM

The ones who makes this happen

John

Dr. Mohamed Abdel-Aty

P.E., F.ASCE Trustee Chair

Jane

Dr. Yina Wu

Research Associate Professor

Mike

Dr. Qing Cai

Research Assistant Professor

Dan

Ou Zheng

Computer Vision Research Engineer

Our Performance.

Accuracy

95%+

Expected Average Overlap(EAO)

95%+

Robustness

85%+

OUR Example

What we've done for safety

Express way(China)
Intersection (UCF)
Intersection (UCF)
Intersection with Stop Sign(UCF)
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