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是一家位于安大略省伦敦的按需食品配送服务公司,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,用于伦敦市中心的食品配送。从一个并行的安大略卓越中心(OCE)创新和生产力(VIP)II项目的建设,以开发一个远程操作的交付车辆,项目团队将使用模糊逻辑和机器学习的综合方法,以开发该车辆完全自主操作所需的导航系统。鉴于劳动力成本不断上升,而可用的司机数量相对较少,创造这种全自动送货车辆对于找到一种具有成本效益的方式来继续扩大城市地区的送货业务至关重要。因此,这种车辆为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车辆的可能性。对于参与该项目的教师和学生来说,这代表了获得自动驾驶汽车开发工作第一手经验的机会,具有可应用于商用自动驾驶汽车开发的交叉技能的潜力。对于教师来说,这种经验可以带回到课程中,并融入课堂,为更多的学生提供学习机会,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,并使他们处于有利地位,参与经济中快速增长的部分。最终,该项目将有助于推动加拿大自动驾驶汽车技术的开发和采用,并继续将安大略南部和西南部作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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