Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter. - Mirko Mählisch; Roland Schweiger; Werner Ritter; Klaus Dietmayer (FUSION, 2006)

Heterogeneous Fusion of Video, LIDAR and ESP Data for Automotive ACC Vehicle Tracking. - Mirko Mählisch; Rudiger Hering; Werner Ritter; Klaus Dietmayer (MFI, 2006)

A sensor independent probabilistic fusion system for driver assistance systems. - Michael Munz 001; Klaus C. J. Dietmayer; Mirko Mählisch (ITSC, 2009)

Generalized fusion of heterogeneous sensor measurements for multi target tracking. - Michael Munz 001; Klaus Dietmayer; Mirko Mählisch (FUSION, 2010)

Reliable automotive pre-crash system with out-of-sequence measurement processing. - Marc M. Muntzinger; Michael Aeberhard; Sebastian Zuther; Mirko Mählisch; Matthias Schmid; Jürgen Dickmann; Klaus Dietmayer (Intelligent Vehicles Symposium, 2010)

Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems. - Michael Munz 001; Mirko Mählisch; Jürgen Dickmann; Klaus Dietmayer (Intelligent Vehicles Symposium, 2010)

Dynamic level of detail 3D occupancy grids for automotive use. - Matthias Roland Schmid; Mirko Mählisch; Jürgen Dickmann; Hans-Joachim Wünsche (Intelligent Vehicles Symposium, 2010)

Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems. - Michael Munz 001; Mirko Mählisch; Klaus Dietmayer (IEEE Intell. Transp. Syst. Mag., 2010)

Towards a unified architecture for mapping static environments. - Tim Kubertschak; Mirko Mählisch; Hans-Joachim Wünsche (FUSION, 2014)

Fusion routine independent implementation of advanced driver assistance systems with polygonal environment models. - Tim Kubertschak; Mirko Mählisch; Hans-Joachim Wünsche (FUSION, 2016)

Iterative Deep Fusion for 3D Semantic Segmentation. - Fabian Duerr; Hendrik Weigel; Mirko Mählisch; Jürgen Beyerer (IRC, 2020)

Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations. - Enrico Schröder; Mirko Mählisch; Julien Vitay; Fred H. Hamker (IRC, 2020)

Taking Advantage of Road Users Occluding the Road: Supporting Camera-based Road Tracking in Shared Spaces using Radar Doppler Measurements. - Bianca Forkel; Philipp Berthold; Mirko Mählisch (FUSION, 2024)

Multimodal Odometry Estimation With Automated Sensor Selection. - Martin Michaelis; Philipp Berthold; Thorsten Luettel; Mirko Mählisch (FUSION, 2024)

Know Your Maps: Uncertainty-Aware Semantic LiDAR Localization with Dual Maps. - Lukas Beer; Thorsten Luettel; Mirko Mählisch (ICL-GNSS, 2024)

Perception-Based Accurate Autonomous Vehicle Following in GNSS-Denied Environments. - Alexander Bienemann; Andreas Reich; Thorsten Luettel; Mirko Mählisch (ITSC, 2024)

Collision Probability Distribution Estimation via Temporal Difference Learning. - Thomas Steinecker; Thorsten Luettel; Mirko Mählisch (ITSC, 2024)

The Good, the Sparse, and the Ugly: Investigating the Impact of Corrupted HD-Map Features on Ego-Vehicle Localization. - Lukas Beer; Thorsten Luettel; Mirko Mählisch (IV, 2024)

Evolutionary Image Quality Monitoring for ADAS under Adverse Weather. - Juan D. González; Mirko Mählisch (IV, 2024)

Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors. - Andreas Reich; Mirko Mählisch (IV, 2024)

Survey on Datasets for Perception in Unstructured Outdoor Environments. - Peter Mortimer; Mirko Mählisch (CoRR, 2024)

Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach. - Anton Backhaus; Thorsten Luettel; Mirko Mählisch (CoRR, 2025)

Diffusion-Based Image Augmentation for Semantic Segmentation in Outdoor Robotics. - Peter Mortimer; Mirko Mählisch (CoRR, 2025)