Showing 1-5 of 5 results
- Sort
Filter Results
Show
Sort By
Results
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
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
Stix-Fusion: A Probabilistic Stixel Integration Technique
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
A Stereo-Vision Based Object Tracking Approach at Roundabouts
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
May I enter the roundabout? A time-to-contact computation based on stereo-vision
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
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.