2 citations · 3 across the 3 of their papers we have counts for
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Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
Pankaj Deoli, Rohit Kumar, Axel Vierling +1
This study investigates the vulnerability of semantic segmentation models to adversarial input perturbations, in the domain of off-road autonomous driving. Despite good performance…
Dimensionality of datasets in object detection networks
Ajay Chawda, Axel Vierling, Karsten Berns
In recent years, convolutional neural networks (CNNs) are used in a large number of tasks in computer vision. One of them is object detection for autonomous driving. Although CNNs…
Multi-Modal Depth Estimation Using Convolutional Neural Networks
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. This work explores the sig…
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
Ritu Yadav, Axel Vierling, Karsten Berns
This paper presents two variations of architecture referred to as RANet and BIRANet. The proposed architecture aims to use radar signal data along with RGB camera images to form a…