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2020 – today
- 2024
[c17]Bianca Forkel, Philipp Berthold, Mirko Mählisch:
Taking Advantage of Road Users Occluding the Road: Supporting Camera-based Road Tracking in Shared Spaces using Radar Doppler Measurements. FUSION 2024: 1-8- [c16]Martin Michaelis, Philipp Berthold, Thorsten Luettel, Mirko Mählisch:
Multimodal Odometry Estimation With Automated Sensor Selection. FUSION 2024: 1-8 - [c15]Lukas Beer, Thorsten Luettel, Mirko Mählisch:
Know Your Maps: Uncertainty-Aware Semantic LiDAR Localization with Dual Maps. ICL-GNSS 2024: 1-7 - [c14]Lukas Beer, Thorsten Luettel, Mirko Mählisch:
The Good, the Sparse, and the Ugly: Investigating the Impact of Corrupted HD-Map Features on Ego-Vehicle Localization. IV 2024: 118-123 - [c13]Andreas Reich, Mirko Mählisch:
Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors. IV 2024: 1871-1877 - [c12]Juan D. González, Mirko Mählisch:
Evolutionary Image Quality Monitoring for ADAS under Adverse Weather. IV 2024: 2799-2805 - [i2]Peter Mortimer, Mirko Mählisch:
Survey on Datasets for Perception in Unstructured Outdoor Environments. CoRR abs/2404.18750 (2024) - [i1]Thomas Steinecker, Thorsten Luettel, Mirko Mählisch:
Collision Probability Distribution Estimation via Temporal Difference Learning. CoRR abs/2407.20000 (2024) - 2020
- [c11]Enrico Schröder, Mirko Mählisch, Julien Vitay, Fred H. Hamker
:
Monocular 3D Object Detection Using Feature Map Transformation: Towards Learning Perspective-Invariant Scene Representations. IRC 2020: 383-390 - [c10]Fabian Duerr, Hendrik Weigel, Mirko Mählisch, Jürgen Beyerer:
Iterative Deep Fusion for 3D Semantic Segmentation. IRC 2020: 391-397
2010 – 2019
- 2016
- [c9]Tim Kubertschak, Mirko Mählisch, Hans-Joachim Wünsche:
Fusion routine independent implementation of advanced driver assistance systems with polygonal environment models. FUSION 2016: 347-354 - 2014
- [c8]Tim Kubertschak, Mirko Mählisch, Hans-Joachim Wünsche:
Towards a unified architecture for mapping static environments. FUSION 2014: 1-8 - 2010
- [j1]Michael Munz, Mirko Mählisch, Klaus Dietmayer:
Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems. IEEE Intell. Transp. Syst. Mag. 2(1): 6-17 (2010) - [c7]Michael Munz, Klaus Dietmayer, Mirko Mählisch:
Generalized fusion of heterogeneous sensor measurements for multi target tracking. FUSION 2010: 1-8 - [c6]Matthias Roland Schmid, Mirko Mählisch, Jürgen Dickmann, Hans-Joachim Wünsche:
Dynamic level of detail 3D occupancy grids for automotive use. Intelligent Vehicles Symposium 2010: 269-274 - [c5]Michael Munz, Mirko Mählisch, Jürgen Dickmann, Klaus Dietmayer:
Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems. Intelligent Vehicles Symposium 2010: 760-765 - [c4]Marc M. Muntzinger, Michael Aeberhard, Sebastian Zuther, Mirko Mählisch, Matthias Schmid, Jürgen Dickmann, Klaus Dietmayer:
Reliable automotive pre-crash system with out-of-sequence measurement processing. Intelligent Vehicles Symposium 2010: 1022-1027
2000 – 2009
- 2009
- [c3]Michael Munz, Klaus C. J. Dietmayer, Mirko Mählisch:
A sensor independent probabilistic fusion system for driver assistance systems. ITSC 2009: 1-6 - 2006
- [c2]Mirko Mählisch, Roland Schweiger, Werner Ritter, Klaus Dietmayer:
Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter. FUSION 2006: 1-8 - [c1]Mirko Mählisch, Rudiger Hering, Werner Ritter, Klaus Dietmayer:
Heterogeneous Fusion of Video, LIDAR and ESP Data for Automotive ACC Vehicle Tracking. MFI 2006: 139-144
Coauthor Index
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