Search Results for author: Maximilian Nitsche

Found 4 papers, 1 papers with code

AB2CD: AI for Building Climate Damage Classification and Detection

no code implementations3 Sep 2023 Maximilian Nitsche, S. Karthik Mukkavilli, Niklas Kühl, Thomas Brunschwiler

To achieve robust and accurate evaluations of building damage detection and classification, we evaluated different deep learning models with residual, squeeze and excitation, and dual path network backbones, as well as ensemble techniques.

Classification

Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers

no code implementations13 Jul 2022 Daniel Bogdoll, Meng Zhang, Maximilian Nitsche, J. Marius Zöllner

As a safety-critical problem, however, anomaly detection is a huge hurdle towards a large-scale deployment of autonomous vehicles in the real world.

Anomaly Detection Autonomous Driving +2

Multimodal Detection of Unknown Objects on Roads for Autonomous Driving

1 code implementation3 May 2022 Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner

Tremendous progress in deep learning over the last years has led towards a future with autonomous vehicles on our roads.

Anomaly Detection Autonomous Driving

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