Search Results for author: Melih Yazgan

Found 2 papers, 0 papers with code

A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges

no code implementations24 Apr 2024 Melih Yazgan, Thomas Graf, Min Liu, Tobias Fleck, J. Marius Zoellner

This survey analyzes intermediate fusion methods in collaborative perception for autonomous driving, categorized by real-world challenges.

Autonomous Driving

Collaborative Perception Datasets in Autonomous Driving: A Survey

no code implementations22 Apr 2024 Melih Yazgan, Mythra Varun Akkanapragada, J. Marius Zoellner

This survey offers a comprehensive examination of collaborative perception datasets in the context of Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Everything (V2X).

Autonomous Driving

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