Kai-De Chen - IEEE Xplore Author Profile
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Kai-De Chen

Publications
9
Citations
172
Publications by Year
20172023
Co-Authors:
Show All Co-Authors (19)
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Kai-De Chen

Affiliation

Center of Core Competence LITE-ON Technology, Taipei, Taiwan

Publication Topics

Biography

Kai-De Chen (Student Member, IEEE) was born in Tainan, Taiwan, in 1993. He received the B.S. degree in electronic engineering in 2016 from the National Taiwan University of Science and Technology, Taipei, Taiwan, where he is currently working toward the Ph.D. degree by direct pursuit.,From 2019 to 2020, he was a Visiting Researcher with the Milan M. Jovanovic Power Electronics Laboratory, Durham, NC, USA. His current research interests include resonant converters, wireless power transfer, wide bandgap device applications, and high-frequency power conversion.(Based on document published on 6 October 2020).
Publications
9
Citations
172
Publications by Year
20172023
Co-Authors:
Show All Co-Authors (19)
Author's Published Works

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Direct Geometrical Map to Low-Level Grid Map Registration for Robust Online Localization

Ulrich Berger;Stefan Orf;Maximilian Muffert;J. Marius Zöllner

2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
In autonomous driving, robustness and precision can be increased through additional information sources in the form of prior maps. To benefit from these maps, precise localization is necessary. Localization enables the vehicle to drive along planned trajectories using map information like lane geometry and static environment information. State-of-the-art localization methods often use feature base...Show More

Direct Geometrical Map to Low-Level Grid Map Registration for Robust Online Localization

Ulrich Berger;Stefan Orf;Maximilian Muffert;J. Marius Zöllner

Year: 2018 | Conference Paper |

Precise pose graph localization with sparse point and lane features

Cong Wu;Tiffany A. Huang;Maximilian Muffert;Tilo Schwarz;Johannes Gräter

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2017 | Conference Paper |
Cited by: Papers (11)
We introduce a novel pose graph-based localization technique for autonomous driving that incorporates both sparse point features as well as lane markings on the road. Unlike many commonly used filter methods, our graph-based localization takes a much larger history of the trajectory into account. In addition, we utilize a multiple-hypothesis approach for data association for increased robustness a...Show More

Precise pose graph localization with sparse point and lane features

Cong Wu;Tiffany A. Huang;Maximilian Muffert;Tilo Schwarz;Johannes Gräter

Year: 2017 | Conference Paper |

Stix-Fusion: A Probabilistic Stixel Integration Technique

Maximilian Muffert;Nicolai Schneider;Uwe Franke

2014 Canadian Conference on Computer and Robot Vision
Year: 2014 | Conference Paper |
Cited by: Papers (6)
In summer 2013, a Mercedes S-Class drove completely autonomously for about 100 km from Mannheim to Pforzheim, Germany, using only close-to-production sensors. In this project, called Mercedes Benz Intelligent Drive, stereo vision was one of the main sensing components. For the representation of free space and obstacles we relied on the so called Stixel World, a generic 3D intermediate representati...Show More

Stix-Fusion: A Probabilistic Stixel Integration Technique

Maximilian Muffert;Nicolai Schneider;Uwe Franke

Year: 2014 | Conference Paper |

A Stereo-Vision Based Object Tracking Approach at Roundabouts

Maximilian Muffert;David Pfeiffer;Uwe Franke

IEEE Intelligent Transportation Systems Magazine
Year: 2013 | Volume: 5, Issue: 2 | Magazine Article |
This article presents a stereo-vision based system for the recognition of dangerous situations at roundabouts. To this end, we investigate the necessary field of view and viewing direction using videos taken by a panoramic camera. Using the insights of these tests, we build up a stereo-vision system. This system is based on the well established disparity estimation scheme semi-global matching and ...Show More

A Stereo-Vision Based Object Tracking Approach at Roundabouts

Maximilian Muffert;David Pfeiffer;Uwe Franke

Year: 2013 | Volume: 5, Issue: 2 | Magazine Article |

May I enter the roundabout? A time-to-contact computation based on stereo-vision

Maximilian Muffert;Timo Milbich;David Pfeiffer;Uwe Franke

2012 IEEE Intelligent Vehicles Symposium
Year: 2012 | Conference Paper |
This paper presents a stereo-vision based system for the recognition of dangerous situations at roundabouts. At first, we investigate the necessary field of view and viewing direction using videos taken by a panoramic camera. Using the insights of these tests we build up a stereo-vision system. This system is based on the well established disparity estimation scheme Semi-Global Matching and the re...Show More

May I enter the roundabout? A time-to-contact computation based on stereo-vision

Maximilian Muffert;Timo Milbich;David Pfeiffer;Uwe Franke

Year: 2012 | Conference Paper |

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