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English(EN) Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection

新的色调映射方法增强了自动驾驶的HDR目标检测能力

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新的实时色调映射方法，旨在提高高动态范围（HDR）图像中的目标检测性能，特别是在自动驾驶应用中。该方法弥合了HDR RAW输入与现有神经网络所需的低动态范围（LDR）sRGB之间的差距。它利用神经光度校准和一种与缩放无关的局部色调映射模型来保留图像细节并针对下游任务进行优化，其性能优于传统方法，并在NVIDIA Jetson平台上实现了实时处理。 AI

影响 通过在挑战性光照条件下增强视觉感知，可能提高自动驾驶系统的可靠性和安全性。

排序理由 详细介绍新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的色调映射方法增强了自动驾驶的HDR目标检测能力

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详细介绍新技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Gongzhe Li, Linwei Qiu, Peibei Cao, Fengying Xie, Xiangyang Ji, Qilin Sun ·

    面向高动态范围目标检测的实时场景自适应色调映射

    arXiv:2608.30400v1 Announce Type: new Abstract: High-dynamic-range (HDR) images, with their rich tone and detail reproduction, hold significant potential to enhance computer vision systems, particularly in autonomous driving. However, most neural networks for embedded systems are…

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