Uber to put 500 data-collection vehicles on the road this year
Uber to put 500 data-collection vehicles on the road this year
Uber 今年将在路上投放 500 辆数据采集车
Uber revealed on Wednesday a prototype car that it plans to use to scoop up real-world driving data for its growing roster of autonomous vehicle partners, including Avride, Waymo, and WeRide. The vehicle is not some radical design. Rather, it’s a Hyundai Ioniq 5 fitted with an incredible number of sensors on the top and sides, as the company first told TechCrunch back in January.
Uber 周三展示了一款原型车，计划利用它为日益增长的自动驾驶合作伙伴（包括 Avride、Waymo 和文远知行 WeRide）收集真实世界的驾驶数据。这款车并非什么激进的设计，正如该公司今年 1 月首次向 TechCrunch 透露的那样，它是一辆在顶部和侧面安装了大量传感器的现代 Ioniq 5。
The sensor-laden vehicle may not look particularly groundbreaking, but it does mark a few milestones for the company. This is the first vehicle Uber has assembled itself (with help from a partner) since the company sold its autonomous vehicle division to Aurora in 2020. It also represents progress on Uber’s new AV Labs division, which launched earlier this year to use sensor-equipped Uber cars to collect and then share data with its 30-and-counting autonomous vehicle technology partners.
这辆装满传感器的汽车看起来或许并不特别具有开创性，但它确实标志着公司达到了几个里程碑。这是自 2020 年将自动驾驶部门出售给 Aurora 以来，Uber（在合作伙伴的协助下）首次自行组装的车辆。这也代表了 Uber 新成立的 AV Labs 部门取得了进展，该部门于今年早些时候成立，旨在利用配备传感器的 Uber 车辆收集数据，并与目前已超过 30 家的自动驾驶技术合作伙伴共享。
Uber said Wednesday that it plans to roll out 500 of these kitted-out Hyundai EVs globally this year. That fleet will be able to collect “2 million miles per month of high-fidelity data” for robotaxis. Uber expects 50 of these vehicles to be on the road by the summer.
Uber 周三表示，计划今年在全球范围内投放 500 辆这种经过改装的现代电动汽车。该车队每月将能够为自动驾驶出租车收集“200 万英里的高保真数据”。Uber 预计到今年夏天，将有 50 辆此类车辆投入使用。
The Ioniqs are fitted with 14 cameras, eight solid-state lidar sensors, and nine radars through a partnership with Roush Performance, which will handle the vehicle retrofits. All of that data will be routed through Nvidia’s Dual Drive Thor autonomous vehicle computer. Uber appears open to changing that sensor suite, noting that it will continue to update it as its partners’ needs evolve.
通过与负责车辆改装的 Roush Performance 合作，这些 Ioniq 车型配备了 14 个摄像头、8 个固态激光雷达传感器和 9 个雷达。所有数据都将通过英伟达（Nvidia）的 Dual Drive Thor 自动驾驶计算机进行处理。Uber 似乎对更换传感器套件持开放态度，并指出将随着合作伙伴需求的变化不断进行更新。
This isn’t just a transfer of raw data, however. Uber said its aim is to develop the world’s most geographically diverse set of training data specifically geared towards autonomous driving. If successful, this dataset will give its AV partners a 360-degree, time-synchronized stitched view that can be used to train self-driving software.
然而，这不仅仅是原始数据的传输。Uber 表示，其目标是开发全球地理分布最广泛、专门针对自动驾驶的训练数据集。如果成功，该数据集将为其自动驾驶合作伙伴提供 360 度、时间同步的拼接视图，可用于训练自动驾驶软件。
The company already has a head start. Uber told TechCrunch it has collected data from thousands of vehicles equipped with outward-facing cameras in dozens of cities that are operated by its fleet partners. Uber has also captured data from hundreds of Lucid Air vehicles used by its fleet partners in the U.S. and Europe over the past two years.
该公司已经占据了先机。Uber 告诉 TechCrunch，它已经在数十个城市收集了数千辆由其车队合作伙伴运营、配备外向摄像头的车辆数据。在过去两年中，Uber 还从其车队合作伙伴在美国和欧洲使用的数百辆 Lucid Air 汽车中获取了数据。
Uber’s AV Labs division is analyzing these two tranches of data and is preparing to collect even more with its modified Ioniq 5 vehicles, which will be used by its fleet partners. The AV Labs division is one component of Uber’s broader ambitions for autonomous vehicles. The company launched in February a division called Uber Autonomous Solutions that is designed to handle the day-to-day operations at a robotaxi, self-driving truck, or sidewalk delivery robot business.
Uber 的 AV Labs 部门正在分析这两批数据，并准备利用其改装的 Ioniq 5 车辆收集更多数据，这些车辆将由其车队合作伙伴使用。AV Labs 部门是 Uber 更宏大的自动驾驶雄心的一部分。该公司于 2 月成立了一个名为“Uber 自动驾驶解决方案”（Uber Autonomous Solutions）的部门，旨在处理自动驾驶出租车、自动驾驶卡车或人行道配送机器人的日常运营业务。