7 citations · 12 across the 10 of their papers we have counts for
10 papers
Learning-Based Behavior Planning for Automated Driving: Real-World Integration and Deployment
Jean-Pierre Busch, Guido Linden, Jan Bergmann +1
Recent research in machine and deep learning has shown the potential of learningbased motion planning approaches to improve the driving behavior of automated vehicles, especially i…
Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment
Till Beemelmanns, Shayan Sharifi, Manas Mehrotra +2
Deep Neural Networks have become the dominant solution for Autonomous Driving perception, but their opacity conflicts with emerging Trustworthy AI guidelines and complicates safety…
Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift
Till Beemelmanns, Alexey Nekrasov, Stefan Vilceanu +4
Reliable uncertainty estimation for 3D object detection is critical for deploying safe autonomous systems, yet modern detectors remain poorly calibrated, especially under distribut…
Robust Fusion of Object-Level V2X for Learned 3D Object Detection
Lukas Ostendorf, Lennart Reiher, Onn Haran +1
Perception for automated driving is largely based on onboard environmental sensors, such as cameras and radar, which are cost-effective but limited by line-of-sight and field-of-vi…
karl. -- A Research Vehicle for Automated and Connected Driving
Jean-Pierre Busch, Lukas Ostendorf, Guido Linden +5
As highly automated driving is transitioning from single-vehicle closed-access testing to commercial deployments of public ride-hailing in selected areas (e.g., Waymo), automated d…
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
Severin Heidrich, Till Beemelmanns, Alexey Nekrasov +2
Autonomous driving has the potential to significantly enhance productivity and provide numerous societal benefits. Ensuring robustness in these safety-critical systems is essential…
V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic
Guido Kueppers, Jean-Pierre Busch, Lennart Reiher +1
Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals,…
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection
Till Beemelmanns, Quan Zhang, Christian Geller +1
Multi-modal 3D object detection models for automated driving have demonstrated exceptional performance on computer vision benchmarks like nuScenes. However, their reliance on dense…
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps
Till Beemelmanns, Wassim Zahr, Lutz Eckstein
Vision Transformers (ViTs) have achieved state-of-the-art results on various computer vision tasks, including 3D object detection. However, their end-to-end implementation also mak…
Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization
Jean-Pierre Busch, Lennart Reiher, Lutz Eckstein
In an increasingly automated world -- from warehouse robots to self-driving cars -- streamlining the development and deployment process and operations of robotic applications becom…