Part-Based Convolutional Neural Network and Dual Interactive Wasserstein Generative Adversarial Networks for Land Mark Detection and Localization of Autonomous Robots in Outdoor Environment-Reference-Cited by-同舟云学术

Part-Based Convolutional Neural Network and Dual Interactive Wasserstein Generative Adversarial Networks for Land Mark Detection and Localization of Autonomous Robots in Outdoor Environment

Published:2022-11-09 Issue: Volume: Page:
ISSN:
Container-title:2022 1st International Conference on Computational Science and Technology (ICCST)
language:
Short-container-title:

Author:

Sindhu S.¹,Saravanan M.²

Affiliation:

1. SRM Institute of Science and Technology,Faculty of School of computing,Department of Data Science and Business Systems,Kattankulathur

2. SRM Institute of Science and Technology,Faculty of School of computing,Department of Networking and Communications,Kattankulathur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10040259/10040268/10040455.pdf?arnumber=10040455

Reference15 articles.

1. Vehicular Navigation Based on the Fusion of 3D-RISS and Machine Learning Enhanced Visual Data in Challenging Environments

2. An Automatic Scene Recognition Using TD-Learning for Mobile Robot Localization in an Outdoor Environment

3. A deep-learning real-time visual SLAM system based on multi-task feature extraction network and self-supervised feature points

4. OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization

5. Accurate and Robust Object SLAM with 3D Quadric Landmark Reconstruction in Outdoor Environment;tian;2022 IEEE Robotics and Automation,2022

Cited by 2 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. A Review of Brain-Inspired Cognition and Navigation Technology for Mobile Robots;Cyborg and Bionic Systems;2024-01

2. Analysis of Dual-Row and Dual-Array Crossbars in Mixed Signal Deep Neural Networks;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06