Maximilian Geisslinger

Author

Technical University of Munich ORCID

Also Known As

Geisslinger, Maximilian, Maximilian Geisslinger

Publications

879

Citations

H-Index

Concepts

All Affiliations

Technical University of Munich Embedded Systems (United States)University of Pennsylvania

About

Maximilian Geisslinger is an author at Technical University of Munich specializing in engineering, computer science, and autonomous systems.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	755
2	Computer Engineering	2	2	75
3	Health Sciences	1	1	83
4	Law	1	1	120
5	Management	1	1	22

Maximilian Geisslinger

Publications

780

Citations

H-Index

Page 1

	Year	Citations
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection Felix Nobis, Maximilian Geisslinger, Markus Weber, Convolutional Neural NetworkEngineeringMachine LearningDeep Learning-based RadarMulti-sensor Information Fusion	2019	329
Autonomous Driving Ethics: from Trolley Problem to Ethics of Risk Maximilian Geisslinger, Franziska Poszler, Johannes Betz, Philosophy & Technology EngineeringLawAutonomous SystemsAutonomyIntelligent Autonomous Systems	2021	120
An ethical trajectory planning algorithm for autonomous vehicles Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp Nature Machine Intelligence Path PlanningTrajectory PlanningEngineeringAutonomous VehiclesRoute Planning	2023	97
Scenario Understanding and Motion Prediction for Autonomous Vehicles—Review and Comparison Phillip Karle, Maximilian Geisslinger, Johannes Betz, IEEE Transactions on Intelligent Transportation Systems Artificial IntelligenceEngineeringMachine LearningUncertain Traffic ScenariosAdvanced Driver-assistance System	2022	83
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge Johannes Betz, Tobias Betz, Felix Fent, Journal of Field Robotics Artificial IntelligenceAutomotive EngineeringEngineeringAdvanced Driver-assistance SystemAutonomous Systems	2023	61
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction Maximilian Geisslinger, Phillip Karle, Johannes Betz, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Artificial IntelligenceEngineeringMachine LearningData ScienceTraffic Prediction	2021	29
Maximum Acceptable Risk as Criterion for Decision-Making in Autonomous Vehicle Trajectory Planning Maximilian Geisslinger, Rainer Trauth, Gemb Kaljavesi, IEEE Open Journal of Intelligent Transportation Systems EngineeringAcceptable RiskSafety ScienceAutonomous SystemsTrajectory Planning	2023	22
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp	2022	15
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application Phillip Karle, Tobias Betz, Marcin Bosk, arXiv (Cornell University) Artificial IntelligenceEngineeringDigital TwinningVerificationSoftware Engineering	2023	14
MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing Phillip Karle, Ferenc Török, Maximilian Geisslinger, IEEE Access	2023	10

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