Follow
Juergen Wiest
Juergen Wiest
Senior Engineering Manager, Apple
Verified email at apple.com
Title
Cited by
Cited by
Year
Probabilistic trajectory prediction with Gaussian mixture models
J Wiest, M Höffken, U Kreßel, K Dietmayer
2012 IEEE Intelligent vehicles symposium, 141-146, 2012
3892012
Autonomous driving at Ulm University: A modular, robust, and sensor-independent fusion approach
F Kunz, D Nuss, J Wiest, H Deusch, S Reuter, F Gritschneder, A Scheel, ...
2015 IEEE intelligent vehicles symposium (IV), 666-673, 2015
1392015
A random finite set approach to multiple lane detection
H Deusch, J Wiest, S Reuter, M Szczot, M Konrad, K Dietmayer
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
902012
Real-time multi-object tracking using random finite sets
S Reuter, B Wilking, J Wiest, M Munz, K Dietmayer
IEEE Transactions on Aerospace and Electronic Systems 49 (4), 2666-2678, 2013
492013
Multi-sensor self-localization based on maximally stable extremal regions
H Deusch, S Reuter, D Nuss, M Fritzsche, K Dietmayer
2014 IEEE Intelligent Vehicles Symposium Proceedings, 555-560, 2014
482014
A probabilistic maneuver prediction framework for self-learning vehicles with application to intersections
J Wiest, M Karg, F Kunz, S Reuter, U Kreßel, K Dietmayer
2015 IEEE Intelligent Vehicles Symposium (IV), 349-355, 2015
292015
Localization based on region descriptors in grid maps
J Wiest, H Deusch, D Nuss, S Reuter, M Fritzsche, K Dietmayer
2014 IEEE Intelligent Vehicles Symposium Proceedings, 793-799, 2014
292014
Incorporating categorical information for enhanced probabilistic trajectory prediction
J Wiest, F Kunz, U Kreßel, K Dietmayer
2013 12th international conference on machine learning and applications 1 …, 2013
272013
Decision-free true positive estimation with grid maps for multi-object tracking
D Nuss, B Wilking, J Wiest, H Deusch, S Reuter, K Dietmayer
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
242013
Feature-based mapping and self-localization for road vehicles using a single grayscale camera
M Stübler, J Wiest, K Dietmayer
2015 IEEE Intelligent Vehicles Symposium (IV), 267-272, 2015
172015
Generating environmental input encoding for training neural networks
J Wiest, M Goldszmidt, TM Gindele
US Patent 11,537,134, 2022
142022
Statistical long-term motion prediction
J Wiest
Universität Ulm, Institut für Mess-, Regel-und Mikrotechnik, 2016
112016
Manifold-based motion prediction
C Hermes, J Wiest, C Wöhler, U Kreßel, F Kummert
Proc. 6. Dortmunder Auto-Tag, 2011
102011
Processing graph representations of tactical maps using neural networks
M Levihn, J Wiest, PT Raiko, AK Akametalu
US Patent 11,555,706, 2023
72023
Current Challenges in Vision-Based Driver Assistance.
R Klette, T Vaudrey, J Wiest, R Haeusler, R Jiang, S Morales
IWCIA Special Track on Applications, 3-22, 2009
72009
Current work in the. enpeda.. project
J Morris, R Haeusler, R Jiang, K Jawed, R Kalarot, T Khan, W Khan, ...
2009 24th international conference image and vision computing new zealand …, 2009
52009
Synchronized submanifold embedding for robust and real-time capable head pose detection based on range images
M Höffken, T Wang, J Wiest, U Kreßel, K Dietmayer
2013 International Conference on 3D Vision-3DV 2013, 167-174, 2013
42013
Graph Representation Querying of Machine Learning Models for Traffic or Safety Rules
M Levihn, J Wiest, PT Raiko, AK Akametalu
US Patent App. 18/069,921, 2023
22023
A Confidence Measure for Feature-based Localization using Random Finite Sets
M Stübler, J Wiest, S Reuter, K Dietmayer
10. Uni-DAS eV Workshop Fahrerassistenzsysteme, 139-148, 2015
22015
Autonomous driving and e-mobility, technical challenges and benefits
K Dietmayer, M Buchholz, J Wiest
15. Internationales Stuttgarter Symposium: Automobil-und Motorentechnik …, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–20