Educating Advanced Driver Assistance Systems Technicians

培养高级驾驶辅助系统技术人员

• 批准号: 2000618
• 负责人: Paul Soar
• 金额: $ 57.46万
• 依托单位: Florida State College at Jacksonville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2000618&HistoricalAwards=false
• 关键词: Educating; Advanced; Driver; Assistance; Systems

The most dramatic shift in recent transportation technology has been the development of autonomous vehicles and intelligent cars. The Bosch group estimates that more than half of all cars first registered in 2017 came with at least one advanced driver assistance system (ADAS). Examples include rear collision warnings, parking assist, emergency braking, adaptive cruise control, blind spot monitoring, and lane keeping assist. The deployment of ADAS in vehicles is expected to continue to grow over the next 10 years. This project aims to produce workforce-ready ADAS technicians for the automotive industry by adding instruction on ADAS systems and diagnosis to the College’s automotive technology associate degree program and developing an ADAS technician certificate. This project, backed by industry and academia, will be designed to educate graduates who are skilled in ADAS methodologies and, thus, fill a gap in the modern automotive workforce. As a result, it will contribute to the national need for a highly capable advanced technological workforce.This project intends to improve student learning in science and engineering technician education by: 1) developing up-to-date ADAS-intelligent vehicle course content; 2) implementing an ADAS technical certificate program tied to a relevant industry credential that was developed in partnership with national automotive credentialing organizations; 3) acquiring autonomous vehicle simulation and ADAS lab training equipment; and 4) obtaining hands-on ADAS vehicle diagnostic trainers and autonomous vehicle mini-labs. These curricular improvements and new equipment will enable students to learn fundamentals of ADAS systems and diagnosis including sensor technology such as Light Imaging, Detection and Ranging (LiDAR), wireless systems, radar units, ultrasonic transmitters, and steering angle sensors, as well as to use the same equipment that they will use in industry settings, including ADAS camera alignment fixtures with scan tools. Project impact and success will be evaluated through performance-based techniques, using a mixed methods quasi-experimental design to analyze qualitative and quantitative data about project components. This information will be used for ongoing project improvement. Materials and learning objects developed by the project will be disseminated via the Center for Automotive Technology, the North Florida Transportation Planning Organization, the Florida College System, Advanced Technological Education Central, and other channels. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the nation's economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

近年来交通技术最引人注目的转变是自动驾驶汽车和智能汽车的发展。博世集团估计，在2017年首次注册的所有汽车中，有一半以上配备了至少一个高级驾驶员辅助系统（ADAS）。 示例包括后方碰撞警告、停车辅助、紧急制动、自适应巡航控制、盲点监测和车道保持辅助。 ADAS在车辆中的部署预计将在未来10年内继续增长。该项目旨在通过在学院的汽车技术副学士学位课程中添加ADAS系统和诊断指导并开发ADAS技术员证书，为汽车行业培养劳动力就绪的ADAS技术员。该项目得到了工业界和学术界的支持，旨在教育精通ADAS方法的毕业生，从而填补现代汽车劳动力的空白。 该项目旨在通过以下方式提高学生在科学和工程技术教育中的学习能力：1）开发最新的ADAS智能车辆课程内容; 2）实施与国家汽车认证组织合作开发的相关行业证书相关联的ADAS技术证书计划; 3）实施与国家汽车认证组织合作开发的ADAS技术证书计划。3）获得自动驾驶汽车仿真和ADAS实验室培训设备; 4）获得ADAS汽车诊断训练器和自动驾驶汽车微型实验室。 这些课程改进和新设备将使学生能够学习ADAS系统和诊断的基础知识，包括光成像，检测和测距（LiDAR），无线系统，雷达单元，超声波发射器和转向角传感器等传感器技术，以及使用他们将在行业环境中使用的相同设备，包括ADAS相机对准夹具和扫描工具。 项目的影响和成功将通过基于性能的技术进行评估，使用混合方法准实验设计来分析有关项目组成部分的定性和定量数据。 这些信息将用于正在进行的项目改进。 该项目开发的材料和学习对象将通过汽车技术中心、北佛罗里达交通规划组织、佛罗里达学院系统、先进技术教育中心和其他渠道传播。该项目由先进技术教育计划资助，该计划侧重于为推动国家经济的先进技术领域培养技术人员。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。