Search Results for author: Axel Vierling

Found 4 papers, 3 papers with code

Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis

1 code implementation3 Feb 2024 Pankaj Deoli, Rohit Kumar, Axel Vierling, Karsten Berns

This study investigates the vulnerability of semantic segmentation models to adversarial input perturbations, in the domain of off- road autonomous driving.

Autonomous Driving Semantic Segmentation

Dimensionality of datasets in object detection networks

1 code implementation13 Oct 2022 Ajay Chawda, Axel Vierling, Karsten Berns

In recent years, convolutional neural networks (CNNs) are used in a large number of tasks in computer vision.

Autonomous Driving Object +2

Multi-Modal Depth Estimation Using Convolutional Neural Networks

no code implementations17 Dec 2020 Sadique Adnan Siddiqui, Axel Vierling, Karsten Berns

This paper addresses the problem of dense depth predictions from sparse distance sensor data and a single camera image on challenging weather conditions.

Depth Estimation Transfer Learning

Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles

1 code implementation31 Aug 2020 Ritu Yadav, Axel Vierling, Karsten Berns

BIRANet yields 72. 3/75. 3% average AP/AR on the NuScenes dataset, which is better than the performance of our base network Faster-RCNN with Feature pyramid network(FFPN).

Autonomous Vehicles object-detection +2

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