Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model

Z Gao, Y Mu, C Chen, J Duan, P Luo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
End-to-end autonomous driving provides a feasible way to automatically maximize overall
driving system performance by directly mapping the raw pixels from a front-facing camera to …
被引用次数：18 相关文章

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Z Gao, Y Mu, R Shen, C Chen, Y Ren, J Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
End-to-end autonomous driving provides a feasible way to automatically maximize overall
driving system performance by directly mapping the raw pixels from a front-facing camera to …

SEM2: Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Z Gao, Y Mu, R Shen, C Chen, Y Ren, J Chen… - … Workshop NeurIPS 2022 - openreview.net
End-to-end autonomous driving provides a feasible way to automatically maximize overall
driving system performance by directly mapping the raw pixels from a front-facing camera to …
[PDF] researchgate.net

[PDF][PDF] Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Z Gao, Y Mu, R Shen, C Chen, Y Ren… - arXiv preprint arXiv …, 2022 - researchgate.net
End-to-end autonomous driving provides a feasible way to automatically maximize overall
driving system performance by directly mapping the raw pixels from a front-facing camera to …

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model

Z Gao, Y Mu, R Shen, C Chen, Y Ren, J Chen… - arXiv e …, 2022 - ui.adsabs.harvard.edu
End-to-end autonomous driving provides a feasible way to automatically maximize overall
driving system performance by directly mapping the raw pixels from a front-facing camera to …