论文标题
在复杂的交通环境中的自动驾驶最后一英里送货车辆
Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments
论文作者
论文摘要
多年来，电子商务随着数字技术革命的发展。最后一英里的物流服务为电子商务体验做出了很大的贡献。与传统的最后一英里物流服务相反，使用自动驾驶技术的智能物流服务为降低交付成本并提高效率提供了有希望的解决方案。但是，与发达国家中的复杂交通环境（例如中国的交通环境）中的交通状况更具挑战性。许多类型的移动物体（例如行人，自行车，电动自行车和摩托车等）与自动驾驶汽车共享道路，其行为并不容易跟踪和预测。本文介绍了中国领先的电子商务公司JD.com的技术解决方案，向复杂的交通环境中的自动驾驶最后一英里交付。具体而言，提出了我们自动驾驶汽车的每个模块中的方法，以及安全保证策略。到目前为止，JD.com已在数十省进行了300多辆自动驾驶汽车进行试用，并累积了715,819英里，最多可在公路测试小时内进行试用。
E-commerce has evolved with the digital technology revolution over the years. Last-mile logistics service contributes a significant part of the e-commerce experience. In contrast to the traditional last-mile logistics services, smart logistics service with autonomous driving technologies provides a promising solution to reduce the delivery cost and to improve efficiency. However, the traffic conditions in complex traffic environments, such as those in China, are more challenging compared to those in well-developed countries. Many types of moving objects (such as pedestrians, bicycles, electric bicycles, and motorcycles, etc.) share the road with autonomous vehicles, and their behaviors are not easy to track and predict. This paper introduces a technical solution from JD.com, a leading E-commerce company in China, to the autonomous last-mile delivery in complex traffic environments. Concretely, the methodologies in each module of our autonomous vehicles are presented, together with safety guarantee strategies. Up to this point, JD.com has deployed more than 300 self-driving vehicles for trial operations in tens of provinces of China, with an accumulated 715,819 miles and up to millions of on-road testing hours.
