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Vision‐based road slope estimation methods using road lines or local features from instant images

  • Published:2019-07-31 Issue:10 Volume:13 Page:1590-1602
  • ISSN:1751-9578
  • Container-title:IET Intelligent Transport Systems
  • language:en
  • Short-container-title:IET Intelligent Transport Systems

Author:

Ustunel Eser12,Masazade Engin2ORCID

Affiliation:

1. System ValidationValeo Schalter und Sensoren GmbHBietigheim‐BissingenGermany

2. Department of Electrical and Electronics EngineeringYeditepe UniversityIstanbulTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-Evolution LSTM Network with Knowledge-Guided Multi-Objective Particle Swarm Optimization for Road Gradient Prediction;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. COST-EFFICIENT METHODS OF DERIVING SLOPE INFORMATION FOR ROAD SEGMENTS IN DRIVER-ASSISTANCE APPLICATIONS;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-13

3. Traffic Monitoring and Estimating Speed by Side-Looking FMCW Radar;Wireless Personal Communications;2023-11

4. Statistical modelling of digital elevation models for GNSS-based navigation;International Journal of Image and Data Fusion;2023-06-05

5. Road slope estimation based on acceleration adaptive interactive multiple model algorithm for commercial vehicles;Mechanical Systems and Signal Processing;2023-02
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