Autonomous GPS-free Off-Road Vehicle Navigation Using Low Cost Stereo Vision

Oxbotica是机器人和机器学习领域的创新领导者，将与QinetiQ合作，为复杂环境提供机器人和自动驾驶系统的全球领导者，为重型非公路设备提供具有成本效益的自动驾驶解决方案。这将在高价值建筑、采矿和国防应用中展示生产力、安全和工人福利方面的好处。Oxbotica的领先技术目前正在与多家汽车公司和公路CAV项目进行测试，提供了使用低成本基于摄像头的自动驾驶方法的可能性，这使得有可能处理大型建筑项目中动态变化的环境。在这个项目中，QinetiQ将开发一个转换套件，为大型非公路车辆提供线控控制，然后将其与Oxbotica的Selenium自动驾驶系统集成。作为该项目的一部分，我们将进行演示，在坚韧的越野环境中进行基准测试，并探索部署到从机场到建筑到国防的各个行业。最后，合作伙伴将整合一个车队级的指挥和控制系统，使许多AV的互动与其他种类的运输。这将包括一个基于目标的使命规划系统，该系统优化车辆将采取的路线，并将动态路线条件和限制因素考虑在内，以确保车辆安全有效地前进。

Oxbotica, an innovation leader in the field of robotics and machine learning will partner with QinetiQ a world leader in the provision of robotics and autonomous systems for complex environments, to deliver a breakthrough in cost effective self-driving solutions for heavy duty off-highway equipment. This will enable benefits in productivity, safety and well-being of operatives to be demonstrated in high value construction, mining and defence applications. Oxbotica's leading edge technology, currently under test with a number of automotive companies and in on-highway CAV projects offers the potential to use a low cost camera-based approach to self-driving, which enables the potential to deal with the much more dynamically changing environments of large construction projects. In this project QinetiQ will develop a conversion kit that enables drive-by-wire control for large off-highway vehicles, and will then integrate it with Oxbotica's Selenium autonomy system. As a part of the project we will run demonstrations that benchmark capability in tough off-road environments and explore deployment into industries ranging from airports to construction to defence. Finally the partners will integrate a fleet-level command and control system that enables many AV's to interact with other varieties of transportation. This will include a goal-based mission planning system that optimises the route the vehicle will take and will factor in dynamic route conditions and constraints to ensure the vehicle progresses safely and efficiently.