Axel Vierling

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Object Detection

Autonomous Driving

Convolutional Neural Networks

Top Venues

Publications

Pankaj Deoli, Rohit Kumar, Axel Vierling, Karsten Berns
Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study. AAMAS (2024)
Pankaj Deoli, Rohit Kumar, Axel Vierling, Karsten Berns
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis. CoRR (2024)
Pankaj Deoli, Shubham Abhay Deshpande, Axel Vierling, Karsten Berns
Exploring Image Fusion Techniques for Off-Road Semantic Segmentation in Harsh Lighting Conditions. A Multispectral Imagery Analysis. UR (2024)
Axel Vierling, Ajay Chawda, Mahesh Kashyap Belakavadi Manjunath, Karsten Berns
Quantifiable Robustness Estimation for Object Detection with CNNs Using Intrinsic Dimensionality. ICIP (2023)
Ajay Chawda, Axel Vierling, Karsten Berns
Dimensionality of datasets in object detection networks. CoRR (2022)
Patrick Wolf, Axel Vierling, Thorsten Ropertz, Simon Velden, Carlos Guzman, Karsten Berns
Autonomous Off-Road Navigation Using Near-Feature-Based World Knowledge Incorporation on the Example of Forest Path Detection. IAS (2021)
Axel Vierling, Charu James, Karsten Berns, Nikoletta Katsaouni
Provable Translational Robustness For Object Detection With Convolutional Neural Networks. ICIP (2021)
Maximilian Kunz, Axel Vierling, Patrick Wolf, Karsten Berns
Localization using OSM landmarks. LARS/SBR/WRE (2021)
Sadique Adnan Siddiqui, Axel Vierling, Karsten Berns
Multi-Modal Depth Estimation Using Convolutional Neural Networks. SSRR (2020)
Ritu Yadav, Axel Vierling, Karsten Berns
Radar + RGB Fusion For Robust Object Detection In Autonomous Vehicle. ICIP (2020)
Ritu Yadav, Axel Vierling, Karsten Berns
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles. CoRR (2020)
Sadique Adnan Siddiqui, Axel Vierling, Karsten Berns
Multi-Modal Depth Estimation Using Convolutional Neural Networks. CoRR (2020)
Axel Vierling, Tanittha Sutjaritvorakul, Karsten Berns
Dataset Generation Using a Simulated World. RAAD (2019)
Tobias Damm, Kazuhiro Sato, Axel Vierling
Numerical solution of Lyapunov equations related to Markov jump linear systems. Numer. Linear Algebra Appl. 25 (6) (2018)