PLoc：一种基于物理位置的自动驾驶数据集新评估准则
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets
AI总结：
本文提出基于物理位置的自动驾驶评估准则PLoc，并构建重标注数据集ApolloScape-R，实验表明模型对车道内行人的检测准确率低于人行道行人，从而揭示传统评估忽视位置安全信息的不足。
摘要：
自动驾驶作为人工智能领域的一个重要研究方向，已引起广泛关注。在自动驾驶场景中，物体所处的不同物理位置对应着不同程度的危险。然而，传统的自动驾驶目标检测评估准则往往忽略了物体物理位置这一关键因素，导致评估结果可能无法准确反映该物体对自动驾驶车辆构成的真实威胁。为了提高自动驾驶的安全性，本文提出了一种基于物理位置信息的新型评估准则，称为PLoc。该准则超越了传统准则的局限性，认识到自动驾驶场景中行人的物理位置能够提供有价值的安全相关信息。此外，本文还提出了一个由ApolloScape重新标注而来的新数据集（ApolloScape-R）。ApolloScape-R根据行人物理位置的重要性对行人进行了重新标注。该数据集被用于评估各种目标检测模型在所提出的PLoc准则下的性能。实验结果表明，所有目标检测模型在识别位于自动驾驶车辆行驶车道内的人员时，其平均准确率均低于识别人行道上的人员。该数据集已在https://github.com/lnyrlyed/ApolloScape-R.git公开提供。
英文摘要：
Autonomous driving has garnered significant attention as a key research area within artificial intelligence. In the context of autonomous driving scenarios, the varying physical locations of objects correspond to different levels of danger. However, conventional evaluation criteria for automatic driving object detection often overlook the crucial aspect of an object's physical location, leading to evaluation results that may not accurately reflect the genuine threat posed by the object to the autonomous driving vehicle. To enhance the safety of autonomous driving, this paper introduces a novel evaluation criterion based on physical location information, termed PLoc. This criterion transcends the limitations of traditional criteria by acknowledging that the physical location of pedestrians in autonomous driving scenarios can provide valuable safety-related information. Furthermore, this paper presents a newly re-annotated dataset (ApolloScape-R) derived from ApolloScape. ApolloScape-R involves the relabeling of pedestrians based on the significance of their physical location. The dataset is utilized to assess the performance of various object detection models under the proposed PLoc criterion. Experimental results demonstrate that the average accuracy of all object detection models in identifying a person situated in the travel lane of an autonomous vehicle is lower than that for a person on a sidewalk. The dataset is publicly available at https://github.com/lnyrlyed/ApolloScape-R.git
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
