文献类型：期刊文献

英文题名：Prospects of NeRF-Based Autonomous Driving Simulation Scene Reconstruction Technology

作者：Fan, Yangyang[1,2]; Liu, Yuansheng[1,2]

第一作者：Fan, Yangyang

机构：[1] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China; [2] College of Robotics, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学北京市信息服务工程重点实验室

年份：2025

卷号：2449 CCIS

起止页码：243-250

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20253719146892)

语种：英文

外文关键词：3D reconstruction - Autonomous vehicles - Data acquisition - Image reconstruction - Neural networks - Rendering (computer graphics) - Three dimensional computer graphics

摘要：To ensure the reliability and safety of autonomous driving systems, collecting high-quality training data is crucial. Given the challenges and costs of real-world road data collection, simulation technology has become a key means of training and testing autonomous driving algorithms. Compared to traditional simulators, scene generation based on rendering technology is more realistic when handling extreme and complex scenarios. In recent years, NeRF (Neural Radiance Fields) technology has provided a new solution for the reconstruction of autonomous driving simulation scenes. NeRF technology uses neural networks to represent and render 3D scenes, allowing high-quality 3D representations to be recovered from 2D images captured from multiple viewpoints, creating highly realistic scene effects. Applying NeRF technology to autonomous driving simulation scenes not only enables the high-quality reconstruction of complex driving environments and accurate reproduction of various situations under harsh conditions but also reduces the difficulty and cost of data collection, while effectively validating the performance of autonomous driving algorithms. This paper will explore the prospects of NeRF technology in autonomous driving simulation scenes, with a focus on outlining the basic principles of NeRF technology and discussing the current state of NeRF-based reconstruction for autonomous driving simulation scenes. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.