End-to-end autonomous driving with semantic depth cloud mapping and multi-agent
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we
propose a novel deep learning model trained with end-to-end and multi-task learning …
propose a novel deep learning model trained with end-to-end and multi-task learning …
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
O Natan, J Miura - arXiv preprint arXiv:2204.05513, 2022 - arxiv.org
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we
propose a novel deep learning model trained with end-to-end and multi-task learning …
propose a novel deep learning model trained with end-to-end and multi-task learning …
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
O Natan, J Miura - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we
propose a novel deep learning model trained with end-to-end and multi-task learning …
propose a novel deep learning model trained with end-to-end and multi-task learning …
End-to-End Autonomous Driving With Semantic Depth Cloud Mapping and Multi-Agent
O Natan, J Miura - IEEE Transactions on Intelligent Vehicles, 2023 - trid.trb.org
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, the
authors propose a novel deep learning model trained with end-to-end and multi-task …
authors propose a novel deep learning model trained with end-to-end and multi-task …