Semantic 5G Vehicle Communication for Safe Cooperative Autonomous Driving

用于安全协同自动驾驶的语义 5G 车辆通信

• 批准号: EP/Y027787/1
• 负责人: Jianhua He
• 金额: $ 25.55万
• 依托单位: University of Essex
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY027787%2F1
• 关键词: Semantic; 5G; Vehicle; Communication; Safe

Road travel remains one of the most hazardous activities people regularly undertake. More than 1 million people lost their lives on the roads globally due to road accidents every year. Enabled by the autonomous vehicles and vehicle to everything (V2X) communications, cooperative autonomous driving (CAD) is one of the most promising driving applications to reduce road fatalities. Through sharing sensing data and driving intentions, CAD can benefit from earlier and more comprehensive perception of driving environment and hazards, cooperate on trajectory planning and manoeuvre for safe and efficient driving. While CAD holds great potentials for improving safety, its ultra-reliability and high data rate requirements present critical challenges to 5G V2X networks in distributed and ad hoc environments. In this project SECOM original application oriented sematic 5G V2X with efficient architecture and enabling schemes is proposed to tackle the challenges. It enables transmission of application relevant, meaningful and efficiently represented data to the intended receivers with use of semantic context and cross-layer design. It can significantly improve the efficiency of 5G V2X communication and improve the CAD driving safety. SECOM is innovative and will rely on the host and the Fellow's complementary and multi-disciplinary expertise in 5G V2X, semantic segmentation and sensing, autonomous driving and system optimization to tackle the key challenges. The Fellow will receive intensive training in multidisciplinary technical fields and transferable skills from the host and associated partners. Through cutting-edge research, this project will produce original semantic 5G V2X schemes and reliable solutions for CAD, make scientific breakthroughs, improve road safety, enhance the Fellow's career prospects, strengthen knowledge transfer and boost EU research and innovation capacity.

公路旅行仍然是人们经常进行的最危险的活动之一。由于每年发生道路事故，超过100万人在全球道路上丧生。由自动驾驶汽车和车辆启用了一切（V2X）通信，合作自动驾驶（CAD）是减少道路死亡的最有前途的驾驶申请之一。通过共享感应数据和驾驶意图，CAD可以从对驾驶环境和危害的早期和更全面的看法中受益，在轨迹计划和操纵方面合作，以实现安全有效的驾驶。尽管CAD具有提高安全性的巨大潜力，但其超可靠性和高数据速率要求对分布式和临时环境中的5G V2X网络提出了关键的挑战。在这个项目中，提出了具有高效体系结构的原始应用程序的原始应用程序5G V2X，并提出了能够应对挑战的方案。它可以通过使用语义上下文和跨层设计将应用程序相关，有意义且有效地将数据传输到预期的接收器。它可以显着提高5G V2X通信的效率并提高CAD驾驶安全性。 SECOM具有创新性，将依靠主持人以及在5G V2X，语义细分和传感，自动驾驶和系统优化方面的互补和多学科专业知识，以应对关键挑战。该研究员将接受多学科技术领域的深入培训，并从主持人和相关合作伙伴那里获得可转移的技能。通过尖端的研究，该项目将生成原始的语义5G V2X方案和可靠的CAD解决方案，进行科学突破，提高道路安全性，提高同胞的职业前景，增强知识转移并增强欧盟研究和创新能力。