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首页> 外文期刊>IEEE Vehicular Technology Magazine >Time for Autonomous Vehicles to Connect [Connected Vehicles]
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Time for Autonomous Vehicles to Connect [Connected Vehicles]

机译：自主车辆连接[联网车辆]的时间

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I hope that I am preaching to the choir by stating this to the readers of IEEE Vehicular Technology Magazine, but to me, autonomous vehicles should be connected. Autonomous vehicles may be combining data from cameras, onboard sensors, and lidars, they may be intelligent, learning, and adapting to each situation; but, if they are not connected, then they are not very smart. Active safety functions have been taken about as far as they can go. To advance safety further, connectivity is needed. Communications can be seen as a different type of sensor, providing the nonline-of-sight information that radars cannot. During fog, where the camera cannot see, communications can relay information from the vehicle in front, and, similarly, it can relay information about the driver's intentions, which the lidar is unable to detect. Detecting a human in the dark by using machine learning is difficult, and the algorithms can be fooled. Incidents that seem straightforward to humans may mislead the automated vehicles and vice versa-getting drunk, sleepy, and distracted seems irrational to hazard classification algorithms. Uber and Tesla are self-driving but not connected and cooperating. Could the accidents have been prevented if the autonomous vehicles were connected?
机译：我希望通过向IEEE Vehicular Technology Magazine的读者讲讲这部合唱团来宣讲合唱团，但是对我来说，应该连接自动驾驶汽车。自动驾驶汽车可能正在组合来自摄像头，车载传感器和激光雷达的数据，它们可能是智能的，可学习的并且可以适应每种情况；但是，如果它们没有连接，那么它们就不是很聪明。主动安全功能已尽其所能。为了进一步提高安全性，需要连通性。可以将通信视为一种不同类型的传感器，提供雷达无法提供的非视距信息。在雾中，相机无法看到，通讯可以中继来自前方车辆的信息，并且类似地，它可以中继与激光雷达无法检测到的驾驶员意图有关的信息。使用机器学习在黑暗中检测人是困难的，并且算法可能会被愚弄。对人类而言直截了当的事故可能会误导自动驾驶汽车，反之亦然，导致醉酒，困倦和分散注意力似乎对危险分类算法不合理。优步和特斯拉正在自动驾驶，但没有联系和合作。如果连接了自动驾驶汽车，可以预防事故吗？

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