BriefGPT.xyz
Mar, 2024
深度贝叶斯未来融合用于自我监督、高分辨率、越野地图绘制
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping
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Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest...
TL;DR
通过未来融合的自我监督学习方法,提出解决资源受限型越野车辆感应分辨率有限的问题,以完成高分辨率BEV地图的自主预测,为后续任务提供更好的长期预测能力。
Abstract
The limited sensing resolution of
resource-constrained off-road vehicles
poses significant challenges towards reliable
off-road autonomy
. To overcome this limitation, we propose a general framework based on fusin
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