Search Results for author: Bare Luka Zagar

Found 3 papers, 2 papers with code

GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs

no code implementations10 May 2024 MingYu Liu, Ekim Yurtsever, Marc Brede, Jun Meng, Walter Zimmer, Xingcheng Zhou, Bare Luka Zagar, Yuning Cui, Alois Knoll

In this study, we introduce an object relation module, consisting of a graph generator and a graph neural network (GNN), to learn the spatial information from certain patterns to improve 3D object detection.

3D Object Detection Autonomous Vehicles +2

A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook

2 code implementations2 Jan 2024 MingYu Liu, Ekim Yurtsever, Jonathan Fossaert, Xingcheng Zhou, Walter Zimmer, Yuning Cui, Bare Luka Zagar, Alois C. Knoll

Autonomous driving has rapidly developed and shown promising performance due to recent advances in hardware and deep learning techniques.

Autonomous Driving

Vision Language Models in Autonomous Driving and Intelligent Transportation Systems

1 code implementation22 Oct 2023 Xingcheng Zhou, MingYu Liu, Bare Luka Zagar, Ekim Yurtsever, Alois C. Knoll

The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving (AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to their outstanding performance and the ability to leverage Large Language Models (LLMs).

Autonomous Driving

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