评估用于行人碰撞避让的定位技术
Assessing Localization Technologies for Pedestrian Collision Avoidance
AI总结：
本文评估了超宽频技术和蓝牙6.0在行人碰撞预警中的定位精度，并将其与全球导航卫星系统进行性能对比，发现这些技术在特定场景下可作为替代或补充方案，提升环境感知能力。
摘要：
鲁棒的行人安全对于下一代智能交通系统至关重要。此类系统依赖于主动的行人定位和预测碰撞警报。行人定位可以借助超宽频技术和蓝牙6.0，这两种技术提供了高精度测距和低延迟通信，使其成为车辆碰撞预警系统有前途的候选者。本文评估了这些技术在行人警报中的定位精度，并将其性能与全球导航卫星系统进行对比。本文进行的实验评估聚焦于关键性能指标，包括定位精度和对环境条件的鲁棒性。初步结果表明，超宽频和蓝牙6.0可以在某些场景下作为全球导航卫星系统的替代或补充方案，提高环境感知能力，并实现及时的行人警报。
英文摘要：
Robust pedestrian safety is crucial to the next-generation of intelligent transportation systems. Such systems rely on active pedestrian localization and predictive collision alerts. Pedestrian localization can be supported by Ultra-Wideband technology and Bluetooth 6.0, which offer high-precision ranging and low-latency communication, making them promising candidates for vehicular collision warning systems. This paper assesses the localization accuracy of these technologies for pedestrian alerting and benchmarks their performance against Global Navigation Satellite Systems. Experimental evaluations performed in this paper focused on key performance metrics, including localization accuracy and robustness to environmental conditions. Preliminary results suggest that Ultra-Wideband and Bluetooth 6.0 can serve as viable alternatives or complements to Global Navigation Satellite Systems in certain scenarios, improving situational awareness and enabling timely pedestrian alerts.
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。
