DC11. AI for proactive safety detection using conflict techniques

Nimra Jabeen

Education
Erasmus Mundus Joint Master Degree In Marine And Maritime Intelligent Robotics
(Master’s Degree in Engineering of Complex Systems From UTLN, France; Master’s in Marine Robotics From NTNU, Norway)
About
I am a researcher specializing in smart solutions for autonomous systems. My work lies at the intersection of Computer Vision, Deep Learning, and Robotics, where I strive to push the boundaries of what intelligent systems can achieve in real-world environments.
My multidisciplinary background, shaped by studies and collaborations across different countries, allows me to approach challenges from diverse perspectives. I am a dedicated team player, a creative problem solver, and a lifelong learner, always eager to embrace new technologies and methodologies that can enhance the capabilities of autonomous systems.

Hosts: UH & CEGEKA

Objectives:

To propose improved AI techniques for the analysis of traffic conflict video data in terms of correct road user type classification vs. privacy perspectives
To combine, using AI techniques, traffic conflict indicators for a holistic safety assessment
To translate the results from a conflict observation analysis into suggested safety improvements, via AI-based decision mechanisms To forecast the achievable reduction in conflicts for different potential infrastructure changes

Expected results:

AI software with privacy-by-design for improved analysis of conflict video data will be developed and validated
A holistic safety assessment methodology will be developed based on the fusion of multiple surrogate safety indicators
A translation of conflict indicator results into actionable safety improvements on location will be proposed

Planned secondment(s):

Citymesh NV –BE, Purpose: to be involved in customer projects, to experience built end-to-end AI solutions. The office has agreed to host the researcher; formal arrangements to be made during the project preparation.