Double Deep Q-Learning and Faster R-CNN-Based Autonomous Vehicle Navigation and Obstacle Avoidance in Dynamic Environment

Autonomous vehicle navigation in an unknown dynamic environment is crucial for both supervised- and Reinforcement Learning-based autonomous maneuvering. The cooperative fusion of these two learning approaches has the potential to be an effective mechanism to tackle indefinite environmental dynamics....

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Detalles Bibliográficos
Autores principales: Bin Issa, Razin, Das, Modhumonty, Rahman, Md. Saferi, Barua, Monika, Rhaman, Md. Khalilur, Ripon, Kazi Shah Nawaz, Alam, Md. Golam Rabiul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923439/
https://www.ncbi.nlm.nih.gov/pubmed/33672476
http://dx.doi.org/10.3390/s21041468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923439/
https://www.ncbi.nlm.nih.gov/pubmed/33672476
http://dx.doi.org/10.3390/s21041468

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