Developing an autonomous delivery vehicle for use in on-demand food delivery
Developing an autonomous delivery vehicle for use in on-demand food delivery
批准号:
536695-2018
负责人:
Douglas, Dan
金额:
$4.81万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 2
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
Snabb Delivery是一家总部位于伦敦的按需外卖服务公司,该公司希望与范肖学院应用科学与技术学院(AST)合作开发一款自动驾驶汽车,用于伦敦市中心的外卖服务。在安大略省卓越中心(OCE)创新和生产力代金券(VIP) II项目的基础上,开发远程操作的运载工具,项目团队将使用模糊逻辑和机器学习的综合方法开发该车辆完全自主操作所需的导航系统。考虑到劳动力成本的上升和可用司机的相对较少,这种全自动送货车辆的创建对于找到一种经济有效的方式来继续扩大城市地区的送货业务至关重要。因此,这款车为Snabb节省了大量劳动力,特别是如果该技术可以扩展到由一名操作员监督多辆自动驾驶汽车的可能性。对于参与该项目的教师和学生来说,这意味着有机会获得自动驾驶汽车开发的第一手经验,并有可能将交叉技能应用于商用自动驾驶汽车的开发。对于教师来说,这种经验可以重新纳入课程,并融入课堂,为更多学生提供学习机会,培养具有自动驾驶汽车系统知识的未来劳动力。同样,对于参与其中的学生来说,这是一个培养下一代技能的机会,这将大大提高他们的就业能力,并使他们处于一个良好的位置,以参与这个应该是快速增长的经济领域。最终,该项目将有助于推动自动驾驶汽车技术在加拿大的发展和采用,并继续使安大略省南部和西南部成为这些新兴技术的中心。
英文摘要
Snabb Delivery, a London, ON based on-demand food delivery service, looks to develop an autonomous vehicle in collaboration with Fanshawe College's School of Applied Science and Technology (AST) to be used in food deliveries in the London downtown core. Building from a concurrent Ontario Centres of Excellence (OCE) Voucher for Innovation and Productivity (VIP) II project to develop a remote-operated delivery vehicle, the project team will use an integrated approach of fuzzy logic and machine learning to develop the navigation system required for fully autonomous operation of this vehicle. Given the rising cost of labour and the relatively small pool of available drivers, the creation of this fully autonomous delivery vehicle is essential to finding a cost-effective way to continue to expand delivery operations in urban areas. As such, this vehicle offers the potential for significant labour savings for Snabb, particularly if the technology can be scaled to offer the possibility of multiple autonomous vehicles supervised by a single human operator. For the faculty and students involved in the project, this represents the chance to gain firsthand experience working in the development of an autonomous vehicle, with the potential for crossover skills that could be applied to the development of commercial autonomous vehicles. For the faculty, this experience can be brought back into the curriculum and incorporated into classes to provide learning opportunities for more students, developing a future workforce with knowledge of autonomous vehicle systems. Similarly, for the students involved, this represents a chance to develop next-generation skills that will significantly increase their employability and put them in a good position to participate in what should be a fast-growing segment of the economy. Ultimately, this project will help to drive forward the development and adoption of autonomous vehicle technology in Canada and continue to establish Southern and Southwestern Ontario as hubs for these emergent technologies.
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