Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization-Reference-Cited by-同舟云学术

Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization

Published:2019 Issue: Volume: Page:358-370
ISSN:0302-9743
Container-title:Advances in Visual Computing
language:
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Author:

Sehgal Adarsh^ORCID,Singandhupe Ashutosh,La Hung Manh^ORCID,Tavakkoli Alireza^ORCID,Louis Sushil J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-33723-0_29

Reference25 articles.

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2. Buczko, M., Willert, V.: Flow-decoupled normalized reprojection error for visual odometry. In: 19th IEEE International Conference on Intelligent Transportation Systems, pp. 1161–1167 (2016)

3. Cordts, M., et al.: The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3213–3223 (2016)

4. Cvišić, I., Petrović, I.: Stereo odometry based on careful feature selection and tracking. In: European Conference on Mobile Robots, pp. 1–6 (2015)

5. Duckett, T.: A genetic algorithm for simultaneous localization and mapping. In: IEEE International Conference on Robotics and Automation, pp. 434–439, September 2003

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