【论文笔记】PLUTO:Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving 自动化企鹅 互联网行业 从业人员40 人赞同了该文章 目录 收起 1. 摘要 2. 导言 & 相关背景 3. 方法 4. 实验 最近在组里分享了一篇论文,顺便也搬运到知乎,希望可以帮助到相关领域的同学 论文链接...
Cheng J, Chen Y, Chen Q. PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving[J]. arXiv preprint arXiv:2404.14327, 2024. 写在最后
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving 来自 arXiv.org 喜欢 0 阅读量: 25 作者:J Cheng,Y Chen,Q Chen 摘要: We present PLUTO, a powerful framework that pushes the limit of imitation learning-based planning for autonomous driving. Our improvements ...
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PLUTO(Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving)是一个强大的框架,旨在通过模仿学习推动自动驾驶规划的极限。该框架的改进主要体现在三个方面:首先是纵向-横向感知模型架构,它能够使驾驶行为更加灵活多样;其次是创新的辅助损失计算方法,这种方法适用范围广泛且能够高效地进行批量计算...
Cheng J, Chen Y, Chen Q. PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving[J]. arXiv preprint arXiv:2404.14327, 2024. 写在最后 欢迎star和follow我们的仓库,里面包含了BEV/多模态融合/Occupancy/毫米波雷达视觉感知/车道线检测/3D感知/多模态融合/在线地图/多传感器标...