论文标题
训练有素的基于轨迹的自动停车系统使用视觉大满贯环绕摄像机
Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras
论文作者
论文摘要
自动停车位已成为现代车辆的标准功能。现有的停车系统建立了当地地图，以便能够计划朝着检测到的插槽进行操作。下一代停车系统有一个用例，他们在经常停放汽车的环境中持续地图，例如家庭停车或办公室停车。预先建造的地图有助于在下次停放车辆时更好地重新定位车辆。这是通过通过视觉大满贯管道增强停车系统来实现的，该功能称为汽车行业训练有素的轨迹停车场。在本文中，我们讨论了训练有素的轨迹自动停车系统的用例，设计和实施。所提出的系统部署在商用车上，并在\ url {https://youtu.be/nrwf5khyjzu}中说明了消费者应用程序。本文的重点是应用程序，视力算法的细节保持在高水平。
Automated Parking is becoming a standard feature in modern vehicles. Existing parking systems build a local map to be able to plan for maneuvering towards a detected slot. Next generation parking systems have an use case where they build a persistent map of the environment where the car is frequently parked, say for example, home parking or office parking. The pre-built map helps in re-localizing the vehicle better when its trying to park the next time. This is achieved by augmenting the parking system with a Visual SLAM pipeline and the feature is called trained trajectory parking in the automotive industry. In this paper, we discuss the use cases, design and implementation of a trained trajectory automated parking system. The proposed system is deployed on commercial vehicles and the consumer application is illustrated in \url{https://youtu.be/nRWF5KhyJZU}. The focus of this paper is on the application and the details of vision algorithms are kept at high level.
