Baltic AI Hack
Gen AI Hackathon | 04/10 - 06/10 | @ Riga Technical University
CH4: VILNIUS TECH - Objects Tracking in Video
Previous challenge
CH6: VILNIUS TECH - Workforce Diversity
Next challenge

CH5: VILNIUS TECH - Aerial Imagery for SLAM

🛰️ Challenge 5 - VILNIUS TECH: Aerial Imagery for SLAM Localization

  • Problem Statement: Autonomous vehicles struggle to build maps and navigate in unknown environments without relying on predefined maps or external signals. Static object detection is an initial step in solving this challenge.
  • Challenge: Simplify SLAM (Simultaneous Localization and Mapping) to analyze and classify static objects in aerial images, crucial for autonomous vehicle navigation.
  • Link to Partner Challenges Document
  • Partner: Vilnus Tech (Vilnius Gediminas Technical University) - Website

Projects related to this challenge

24 - EcoSat

Kārlis Veckagans     5     348        4
Challenges:   Sustainability   Public Services   Open Challenge   CH5: VILNIUS TECH - Aerial Imagery for SLAM  
Idea stage:   New Idea  
Team status:   Full team  
Looking for additional roles:   Challenge Expert   Design   Science   Tech  

28 - TAKO

Johanna Övel     4     366        3
Challenges:   CH5: VILNIUS TECH - Aerial Imagery for SLAM  
Idea stage:   New Idea  
Team status:   Full team  
Looking for additional roles:   Tech  
View all projects for this challenge