Enabling Level 4-5 Autonomous Fleet Mobility in Known Environments

在已知环境中实现 4-5 级自主车队机动性

• 批准号: RGPIN-2022-03205
• 负责人: Khajepour, Amir
• 金额: $ 4.66万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760425
• 关键词: Enabling; Level; Autonomous; Fleet; Mobility

Automated driving benefits from novel technologies in sensing, computation, and communication that can potentially eliminate human driving errors that account for 94% of fatal road vehicle accidents! Vehicles with automated driving in Level 2 (partial automation with necessary driver intervention in both driving tasks and monitoring the environment) and Level 3 (conditional automation with necessary driver intervention in driving tasks only) are being introduced by automotive companies with many added safety benefits. However, achieving higher levels of autonomy (Level 4: high automation where the vehicle can perform all driving functions under certain conditions; Level 5: full automation where the vehicle can perform all driving functions under all conditions) for general and all-weather driving is far more complicated, and decades of work might still be needed. This is due to the vast complexity in perceiving the environment in any road, traffic, weather conditions, and the ability to make proper decisions in any driving scenario. While the achievement of vehicle autonomy in any environment is still in its infancy, many mobility applications in well-known environments could presently attain Level 4 and 5. Such applications include outdoor autonomous fleets for public transportation, at resorts, and airports; and indoor applications for personal mobility and material handling in health care and long-term care facilities, to name a few. This proposal is intended to enable Level 4 and Level 5 autonomous fleet mobility for known outdoor and indoor environments. The results of this research program can be applied to a vast number of applications. This program, however, will focus on the development of technology for public transportation, health care, and long-term care facilities. Through the applicant's existing autonomous shuttles and his current development of fleet mobility infrastructure for health care and long-term facilities, research results will be implemented for real-world testing and evaluation. The research outcomes will have significant economical and societal impacts by providing solutions for better and cost-effective public transportation and, reliable indoor mobility for health care and long-term care facilities. This will help alleviate staff shortages, particularly apparent in the past two years due to the pandemic crisis, as well as the rising costs of long term and health care services. The proposed research program will contribute greatly to the training of many students with deep theoretical and practical knowledge in autonomous mobility to help and shape the growing Canadian industry in autonomous systems.

自动驾驶得益于传感、计算和通信方面的新技术，这些技术可能会消除导致94%致命道路交通事故的人为驾驶错误！汽车公司正在推出具有2级自动驾驶（部分自动化，驾驶员在驾驶任务和监控环境中进行必要的干预）和3级自动驾驶（有条件自动化，驾驶员仅在驾驶任务中进行必要的干预）的车辆，这些车辆具有许多额外的安全优势。然而，实现更高级别的自动化（4级：高度自动化，车辆可以在某些条件下执行所有驾驶功能; 5级：完全自动化，车辆可以在所有条件下执行所有驾驶功能）对于一般和全天候驾驶来说要复杂得多，可能仍然需要数十年的工作。这是由于在任何道路，交通，天气条件下感知环境的巨大复杂性，以及在任何驾驶场景中做出正确决策的能力。虽然在任何环境中实现车辆自动化仍处于起步阶段，但许多知名环境中的移动应用目前可以达到4级和5级。这些应用包括用于公共交通、度假胜地和机场的室外自动车队;以及用于医疗保健和长期护理设施中的个人移动性和材料处理的室内应用。该提案旨在为已知的室外和室内环境提供4级和5级自主车队移动性。这项研究计划的结果可以应用于大量的应用程序。然而，该计划将侧重于公共交通，医疗保健和长期护理设施的技术开发。通过申请人现有的自主航天飞机及其目前为医疗保健和长期设施开发的车队移动基础设施，研究结果将用于现实世界的测试和评估。研究成果将通过提供更好和具有成本效益的公共交通解决方案，以及为医疗保健和长期护理设施提供可靠的室内移动性，产生重大的经济和社会影响。这将有助于缓解员工短缺，尤其是在过去两年，由于大流行危机，以及长期和医疗保健服务的成本上升。拟议的研究计划将大大有助于培养许多学生在自主移动方面具有深厚的理论和实践知识，以帮助和塑造加拿大自主系统行业的发展。