Jan-Hendrik Pauls

Orcid: 0000-0003-2048-392X

According to our database1, Jan-Hendrik Pauls authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings.
IEEE Robotics Autom. Lett., 2022

Combining 2D and 3D Datasets with Object-Conditioned Depth Estimation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Real-time Cooperative Motion Planning using Efficient Model Predictive Contouring Control.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DA-LMR: A Robust Lane Marking Representation for Data Association.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
DA-LMR: A Robust Lane Markings Representation for Data Association Methods.
CoRR, 2021

Boosted Classifiers on 1D Signals and Mutual Evaluation of Independently Aligned Spatio-Semantic Feature Groups for HD Map Change Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Automatic Mapping of Tailored Landmark Representations for Automated Driving and Map Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

YOLinO: Generic Single Shot Polyline Detection in Real Time.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
HD Map Verification Without Accurate Localization Prior Using Spatio-Semantic 1D Signals.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Monocular Localization in HD Maps by Combining Semantic Segmentation and Distance Transform.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Lanelet2: A high-definition map framework for the future of automated driving.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Can We Trust Our Maps? An Evaluation of Road Changes and a Dataset for Map Validation.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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