Artificial intelligence obstacle recognition on roadsides in the Warmian-Masurian voivodeship using.

My role in the project:

In the role of: Principal investigator, GIS specialist
Employed in the project: 05.2024 - 04.2026

Basic information about the project:

Principal investigator: PhD Eng. Adam Inglot
Project financing institution: Gdańsk University of Technology
Program at the project financing institution: IDUB - Argentum
Project budget: 149 860.00 PLN
Project implementation period: 05.2024 - 04.2026

About the project

The project aims to enhance road safety in Poland by developing an AIOR-SIDE method that utilises LiDAR data and video images, employing artificial intelligence algorithms for recognising roadside obstacles. The motivation stems from the persistently high rate of road accidents, fatalities, and seriously injured, particularly on regional roads. The European Directive 2019/1936 underscores the need for advanced road safety management, prompting the implementation of proactive measures by 2025. The project's multifaceted approach involves field studies, data calibration, algorithm development, and method creation over a 24-month timeline. External entities will be engaged for LiDAR data collection, and collaboration with AI-focused companies will aid in building a digital image of the roadside. The use of deep learning methods for classification algorithms, particularly in detecting a variety of roadside objects, is central to the methodology. The significance of the project extends beyond national concerns, aligning with EU directives and the National Road Safety Program 2021-2030. The comprehensive work plan is structured into five main tasks, each addressing specific aspects of the project, from data acquisition to spatial database integration. The risk assessment identifies potential challenges, offering mitigation strategies to ensure project success. In summary, the project represents a pivotal step towards modernising road safety management in Poland, contributing to the broader European road safety initiatives. The incorporation of advanced technologies like LiDAR and AI, along with strategic collaborations, positions this endeavor as a promising solution to address the severity of road accidents and enhance overall safety on provincial roads.