11 citations · 11 across the 6 of their papers we have counts for
13 papers
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization
Abhishek Vivekanandan, Niels Maier, J. Marius Zoellner
Environmental perception obtained via object detectors have no predictable safety layer encoded into their model schema, which creates the question of trustworthiness about the sys…
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
Barbara Schütt, Marc Heinrich, Sonja Marahrens +2
Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario…
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
Simon T. Isele, Marcel P. Schilling, Fabian E. Klein +2
Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is…
Parallelization of Monte Carlo Tree Search in Continuous Domains
Karl Kurzer, Christoph Hörtnagl, J. Marius Zöllner
Monte Carlo Tree Search (MCTS) has proven to be capable of solving challenging tasks in domains such as Go, chess and Atari. Previous research has developed parallel versions of MC…
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling
Florian Piewak, Peter Pinggera, Marius Zöllner
State-of-the-art approaches for the semantic labeling of LiDAR point clouds heavily rely on the use of deep Convolutional Neural Networks (CNNs). However, transferring network arch…
Automated Focal Loss for Image based Object Detection
Michael Weber, Michael Fürst, J. Marius Zöllner
Current state-of-the-art object detection algorithms still suffer the problem of imbalanced distribution of training data over object classes and background. Recent work introduced…