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.

自动化的驾驶利益来自新型技术，计算和沟通，可能会消除占致命道路事故94％的人类驾驶错误！具有自动驾驶自动驾驶的车辆（部分自动化，在驾驶任务和监视环境中进行必要的驾驶员干预）和第3级（有条件的自动化仅在驾驶任务中进行必要的驾驶员干预），并由具有许多附加安全福利的汽车公司引入。但是，实现较高水平的自主权（4级：高自动化，在某些条件下，车辆可以执行所有驾驶功能； 5级：在所有条件下车辆可以在所有条件下执行所有驾驶功能的完全自动化）对于一般和全天候驾驶都更加复杂，并且可能需要数十年的工作。这是由于在任何道路，交通，天气状况以及在任何驾驶情况下做出正确决策的能力的理解，这是由于意识到环境的严重复杂性。尽管在任何环境中的车辆自治仍处于起步阶段，但目前在知名环境中的许多出行申请可能会达到4和5级。这些应用包括用于公共交通工具，度假村和机场的户外自动舰队；以及在医疗保健和长期护理设施中进行个人流动性和物质处理的室内申请，仅举几例。该提案旨在使4级和5级自动舰队移动性用于已知的室外和室内环境。该研究计划的结果可以应用于大量应用程序。但是，该计划将着重于开发用于公共交通，医疗保健和长期护理设施的技术。通过申请人现有的自主班车及其目前为医疗保健和长期设施的车队移动基础设施发展，研究结果将用于现实世界测试和评估。研究结果将通过提供更好，具有成本效益的公共交通以及可靠的室内卫生保健和长期护理设施的室内流动性，从而产生重大的经济和社会影响。这将有助于缓解员工短缺，特别是在过去两年中，由于大流行危机以及长期和医疗服务的成本上升。拟议的研究计划将有助于对许多具有深厚理论和实践知识的学生的自主行动能力培训，以帮助和塑造自主系统中不断发展的加拿大行业。