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AUTOTRACT - Development of interoperable, low-cost, 'self-driving' software platform for tractor manufacturers

AUTOTRACT - Development of interoperable, low-cost, 'self-driving' software platform for tractor manufacturers
AUTOTRACT - 为拖拉机制造商开发可互操作、低成本的“自动驾驶”软件平台
批准号:
10057982
负责人:
金额:
$42.46万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
**AUTOTRACT-为拖拉机制造商开发可互操作、低成本、自动驾驶的软件平台**从老牌全球农业机械OEM到创新型初创企业,重点放在交付自动拖拉机(到2030年全球市场达到92亿GB),以解决英国、美国和欧洲大陆等发达国家面临的长期农业劳动力短缺问题,以及国家和国际层面的粮食安全挑战。然而,由于传感器限制、硬件互操作性、人工智能技术和低效代码等技术挑战,还没有解决方案推向市场,而且由于巨额开发成本,这个为期18个月的工业研究项目专注于Cavonix,这是一家专门从事联网自动驾驶汽车的英国中小企业,为拖拉机开发一种负担得起的、符合ISO26262标准的自动(自动驾驶/功能)软件平台。使用全面的自下而上、全系统方法,该解决方案将由专有组件组成,包括我们的CavLab编程代码、基于对象的算法、Fusion处理器和X-by-Wire控制设计。Cavonix将得到该领域的先驱哈珀·亚当斯大学的支持,他们的免提公顷(HFHa)项目将用于对TRL6原型平台进行真实世界的技术可行性评估。
英文摘要
**AUTOTRACT - Development of interoperable, low-cost, 'self-driving' software platform for tractor manufacturers**From established global farm machinery OEMs to innovative start-ups, there is a heavy focus on delivering autonomous tractors (£9.2bn global market by 2030) to address the chronic agricultural labour shortages being experienced in developed countries such as the UK, United States, and those in mainland Europe, alongside food security challenges at national and international levels.However, due to technical challenges, including sensor limitations, hardware interoperability, AI sophistication, and inefficient code, no solutions have reached the market and, due to substantial development costs, are likely to be cost prohibitive for many farmers, when they do.This 18-month industrial research project is focused on Cavonix, a UK SME who specialises in connected autonomous vehicles, developing an affordable, ISO26262-compliant, autonomous (self-driving/functioning) software platform for tractors. Using a comprehensive bottom-up, full systems approach, the solution will be comprised of proprietary components including our CavLAB programming code, object-based algorithms, Fusion Processor, and X-by-Wire control design.Cavonix will be supported by Harper Adams University, who are pioneers in this field, and their Hands-Free Hectare (HFHa) project will be leveraged for a real-world technical feasibility assessment of the TRL6 prototyped platform.
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国内基金
海外基金
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Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: