LIDAR捕获的道路数据现已在开源机器学习数据集中公开可用
缩放AIsays COVID-19 has shown the value of autonomous vehicles for no-contact delivery. They're making real-world road data available to train machine learning models to this end.
Last week, Scale AI将Pandaset发布给开源社区。根据比例AI，Pandaset是世界上第一个公开可用的机器学习数据集，其中包括来自前向固态激光雷达和机械旋转雷达的图像。HESAI的这两种激光雷达技术将使ML开发团队能够收获复杂的现实世界道路数据。
Scale AI表示，其传感器融合技术将激光雷达，雷达和摄像头数据合并到单点云中。图像缩放AI
规模AI团队解释说，当前的庇护所指令正在减少进一步开发自动驾驶汽车（AV）所需的数据收集和测试。而且，根据规模AI，经常使用的互补技术和模拟数据不能代替捕获现实驾驶复杂性的高质量数据。
Scale AI说，他们推出Pandaset的动机是一种用于自动驾驶的培训ML模型的开源数据集，是开发关键的自主驾驶技术，这可能是从Covid-19中特别有用的过渡。
收集复杂的现实生活数据数据
Pandasetincorporates data from complex urban driving environments, including heavy vehicular and pedestrian traffic, taken during the day, dusk, and evening hours. Included are over 16,000 LiDAR sweeps and 48,000 camera images—over 100 scenes of eight seconds each. Capturing sequences in busy urban areas also means there is a high density of useful information with many more objects in each frame than in other datasets.
高质量的pandaset数据。图像缩放AI
Pandasetemploys forward-facing solid-state LiDARs and mechanical spinning LiDARs from Hesai to capture the complexity of urban driving. Additionally, PandaSet features Scale’s传感器融合technology, which enables ML developers to merge multiple LiDAR, RADAR, and camera inputs.
Hesai的Mechanical and Solid-State LiDARs
Hesai的Pandar64是一种64通道机械激光雷达，用于捕获Pandaset的内容。该单元的扩展测量范围为200米，反射率为10％。
Pandar64。屏幕截图使用Hesai
PANDAR64提供40°的视野（+15°至-25°）。
Hesai的Pandargt3.0 is a 2D scanning solid-state LiDAR that features an extended range of 300 meters at 10% reflectivity and affords a 60° x 20° field of vision. Its dynamically-adjustable beam distribution enables pedestrian recognition from 150 meters away. The solid-state LiDAR’s interference rejection function enables the device to avert any possible interference from other LiDARs.
Hesai似乎将固态设备视为LiDAR的未来，因为它们没有活动部件，这意味着较低的成本，更高的可靠性和更好的制造性。它们还具有超高分辨率，机械激光雷达根本无法在此参数上进行比较。
Pandargt 3.0。图像Hesai
但是，固态LIDAR仍然面临挑战。在某些情况下，它们的光学转向机制仍然是障碍。总的来说，据说固态激光器对车辆的技术正在遭受增长的痛苦。Hesai直言不讳地指出：“目前，世界上唯一经过认证的汽车级激光雷达是从Valeo机械旋转的。”
商业许可证免费
该规模团队的目的是使Pandaset现在普遍存在，因为大流行造成的数据收集障碍。因此，用户可以立即下载Pandaset，开发工具是可在Github上找到。
Opportunity for ML Growth
Data scientists unable to collect camera images and LiDAR sweeps because of shelter-in-place directives can instead turn to PandaSet. The fact that the datasets are open-source may cheer up those engineers, stuck at home and bored stiff. Those interested in PandaSet may look further into enhancements such as Sensor Fusion and Hesai's LiDAR offerings.
