Master's Thesis: Real-Time Traffic & Pedestrian Mapping

Kapsch TrafficCom

Master's Thesis: Real-Time Traffic & Pedestrian Mapping

Title: Real-Time Web-Based Visualization of Vehicle and Pedestrian Detections with Trajectories on a Map Overlay

Introduction: The increasing deployment of deep learning-based detection systems in urban environments necessitates efficient and scalable visualization solutions for vehicle and pedestrian detections. This thesis aims to develop a web-based application that visualizes real-time traffic participant detections and trajectories on a street or satellite map. The system will overlay detected positions, classifications (e.g., car, truck, bus, pedestrian, bicyclist), and trajectories on a bird's-eye or isometric view map. A key focus will be on identifying suitable map providers and visualization technologies, ensuring high performance and scalability. A prototype implementation will be developed and evaluated based on visualization efficiency, usability, and real-time performance.

Objectives:

* Literature Review: Research existing techniques for visualizing traffic data in real-time applications.
* Technology Evaluation: Identify and compare suitable map providers (e.g., OpenStreetMap, Google Maps, Mapbox) and visualization technologies (e.g., WebGL, Three.js, Deck.gl), along with GIS frameworks.
* System Design: Develop a web-based architecture capable of handling large numbers of traffic participants in real time.
* Prototype Implementation: Build a proof-of-concept application that ingests geolocation data and displays real-time detections and trajectories.
* Performance Evaluation: Assess the system's performance in terms of rendering speed, accuracy, and scalability.

Your Profile:

* Required Background Studies in Computer Science, Software Engineering, Information Technology, Geoinformatics or related fields
* Fluent English skills
* Interest in technology
* Willingness and ability to work independently
* Excellent communication and teamwork skills
* Conscientiousness and reliability
* Strong analytical skills with a precise and structured approach
* Start: Immediately
* Duration: 3-6 months
* Successful completion of the master's thesis will be rewarded with EUR3,000.

Contact:

Edwin Frühwirth

Edwin.Fruehwirth@kapsch.net


Job Facts

Benefits

* Flexible Arbeitszeitmodelle
* Unterstützung zur Vereinbarkeit Familie und Beruf
* Weihnachtsurlaub/ Fenstertagregelung
* Homeoffice/ Mobile Devices
* Strukturierte Karriereplanung/-wege
* Aus-und Weiterbildungsangebote
* Jobrotation/ Mobile Work
* Moderne Office-Infrastruktur
* Gute öffentliche Verkehrsanbindung/ Jobticket on top
* Betriebsarzt sowie Resilience and Care Counselor
* Feste und Events
* Zukunftsvorsorge
* Mitarbeiter Vergünstigungen

Ihr Kontakt

Tatiana Rezan-Sirotinskis

Talent Attraction Partner - Austria

Kapsch TrafficCom AG

+43 (0664) 6281906