ME
Markus Enzweiler
cs.CVcs.ROcs.LGcs.AIcs.SEeess.IVstat.MLSupport Vector Machine
On Valency
published · living versionsW_ayta4je9·v1 · currentpublished
Robust LIDAR Sensor-to-Sensor Domain Generalization via Accumulated-Point Scene Completion
with Christoph B Rist, Larissa T Triess, Dariu M Gavrila
1 version
Preprints & journals
37 papers in the corpus · 2009–2026Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving2610.23262v1 · Fabian Schmidt, Karol Fedurko, Markus Enzweiler et al.2026 · 0 citationsarXiv
Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability Detection2609.37669v1 · Sabrina Kaniewski, Tim Kramer, Julius Bachle et al.2026 · 0 citationsarXiv
Relationally Grounded Latent World Models for Autonomous Driving2609.24626v1 · Fabian Schmidt, Markus Enzweiler, Abhinav Valada2026 · 0 citationsarXiv
Sensor Configuration Matters: A Systematic Evaluation of Multimodal SLAM on Quadruped Robots2606.19067v1 · Roberto Corlito, Fabian Schmidt, Nils Seibert et al.2026 · 0 citationsarXiv
SFG-ROS: A Resource-Aware Framework for Dense Multi-Agent Perception2605.23832v1 · Constantin Blessing, Elias Geiger, Jakob Haringer et al.2026 · 0 citationsarXiv
ARETE: Attention-based Rasterized Encoding for Topology Estimation using HSV-transformed Crowdsourced Vehicle Fleet Data2604.24353v1 · Daniel Fritz, Dimitrios Lagamtzis, Michael Mink et al.2026 · 0 citationsarXiv
Just Repair: A Minimal Denoising Network for Time Series Anomaly Detection2604.17388v3 · Kadir-Kaan Ozer, Ren'e Ebeling, Markus Enzweiler2026 · 0 citationsarXiv
SearchAD: Large-Scale Rare Image Retrieval Dataset for Autonomous Driving2604.08008v1 · Felix Embacher, Jonas Uhrig, Marius Cordts et al.2026 · 0 citationsarXiv
Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection2603.12916v4 · Kadir-Kaan Ozer, Ren'e Ebeling, Markus Enzweiler2026 · 0 citationsMachine Learning and Knowledge Discovery in Databases. Applied Data Science Track, Demo Track and Industrial Track, ECML PKDD 2026, Lecture Notes in Computer Science, vol. 16950, pp. 217-234, Springer, Cham, 2027
ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation2603.10926v2 · Kadir-Kaan Ozer, Ren'e Ebeling, Markus Enzweiler2026 · 0 citationsarXiv
LAD-Drive: Bridging Language and Trajectory with Action-Aware Diffusion Transformers2603.02035v1 · Fabian Schmidt, Karol Fedurko, Markus Enzweiler et al.2026 · 0 citationsarXiv
STREAM-VAE: Dual-Path Routing for Slow and Fast Dynamics in Vehicle Telemetry Anomaly Detection2511.15339v3 · Kadir-Kaan Ozer, Ren'e Ebeling, Markus Enzweiler2025 · 0 citations2026 IEEE Intelligent Vehicles Symposium (IV), Detroit, MI, USA, 2026
Enhancing LLM-based Autonomous Driving with Modular Traffic Light and Sign Recognition2511.14391v1 · Fabian Schmidt, Noushiq Mohammed Kayilan Abdul Nazar, Markus Enzweiler et al.2025 · 0 citationsarXiv
GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving2511.11266v5 · Fabian Schmidt, Markus Enzweiler, Abhinav Valada2025 · 0 citationsarXiv
Integration of Visual SLAM into Consumer-Grade Automotive Localization2511.06919v1 · Luis Diener, Jens Kalkkuhl, Markus Enzweiler2025 · 0 citationsarXiv
Lateral Velocity Model for Vehicle Parking Applications2511.01369v1 · Luis Diener, Jens Kalkkuhl, Markus Enzweiler2025 · 0 citationsarXiv
Radar-Based Odometry for Low-Speed Driving2509.07683v3 · Luis Diener, Jens Kalkkuhl, Markus Enzweiler2025 · 0 citationsarXiv
Neural Rendering for Sensor Adaptation in 3D Object Detection2508.12695v1 · Felix Embacher, David Holtz, Jonas Uhrig et al.2025 · 2 citationsIEEE Intelligent Vehicles Symposium (IV) 2025
A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models2507.22659v2 · Sabrina Kaniewski, Fabian Schmidt, Markus Enzweiler et al.2025 · 8 citationsarXiv
StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception2507.06687v1 · Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar et al.2025 · 0 citationsarXiv
Tiny Neural Networks for Multi-Object Tracking in a Modular Kalman Framework2504.02519v2 · Christian Alexander Holz, Christian Bader, Markus Enzweiler et al.2025 · 0 citationsarXiv
NeRF and Gaussian Splatting SLAM in the Wild2412.03263v1 · Fabian Schmidt, Markus Enzweiler, Abhinav Valada2024 · 1 citationarXiv
ROVER: A Multi-Season Dataset for Visual SLAM2412.02506v3 · Fabian Schmidt, Julian Daubermann, Marcel Mitschke et al.2024 · 15 citationsIEEE Transactions on Robotics, vol. 41, pp. 4005-4022, 2025
Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing2408.01716v2 · Fabian Schmidt, Constantin Blessing, Markus Enzweiler et al.2024 · 10 citationsarXiv
CoopScenes: Multi-Scene Infrastructure and Vehicle Data for Advancing Collective Perception in Autonomous Driving2407.08261v3 · Marcel Vosshans, Alexander Baumann, Matthias Drueppel et al.2024 · 1 citationarXiv
StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection2407.08277v2 · Marcel Vosshans, Omar Ait-Aider, Youcef Mezouar et al.2024 · 2 citationsarXiv
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving2406.06264v1 · Simon Doll, Niklas Hanselmann, Lukas Schneider et al.2024 · 6 citationsarXiv
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations2306.17602v3 · Simon Doll, Niklas Hanselmann, Lukas Schneider et al.2023 · 6 citationsIEEE Robotics and Automation Letters, Vol. 9, No. 2 (2024), PP 1326-1333
Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data.34232868 · Rist, Christoph B, Emmerichs, David, Enzweiler, Markus et al.2022 · 99 citationsIEEE transactions on pattern analysis and machine intelligence. 2022;44(10):7205-7218
CNN-based synthesis of realistic high-resolution LiDAR data1907.00787v2 · Larissa T. Triess, David Peter, Christoph B. Rist et al.2019 · 18 citationsIEEE Intelligent Vehicles Symposium (IV), 2019, pp. 1512-1519
Improved Semantic Stixels via Multimodal Sensor Fusion1809.08993v2 · Florian Piewak, Peter Pinggera, Markus Enzweiler et al.2018 · 11 citationsarXiv
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation1804.09915v1 · Florian Piewak, Peter Pinggera, Manuel Schafer et al.2018 · 78 citationsarXiv
The Stixel world: A medium-level representation of traffic scenes1704.00280v1 · Marius Cordts, Timo Rehfeld, Lukas Schneider et al.2017 · 44 citationsarXiv
Tree-Structured Models for Efficient Multi-Cue Scene Labeling.27448340 · Cordts, Marius, Rehfeld, Timo, Enzweiler, Markus et al.2018 · 12 citationsIEEE transactions on pattern analysis and machine intelligence. 2017;39(7):1444-1454
The Cityscapes Dataset for Semantic Urban Scene Understanding1604.01685v2 · Marius Cordts, Mohamed Omran, Sebastian Ramos et al.2016 · 13,097 citationsarXivon Valency
A multilevel Mixture-of-Experts framework for pedestrian classification.21486715 · Enzweiler, Markus, Gavrila, Dariu M2012 · 150 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2011;20(10):2967-79
Monocular pedestrian detection: survey and experiments.19834140 · Enzweiler, Markus, Gavrila, Dariu M2010 · 1,214 citationsIEEE transactions on pattern analysis and machine intelligence. 2009;31(12):2179-95
Career total: 76 works. 37 are in this corpus.
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