CarSpeak: a content-centric network for autonomous driving
CarSpeak: a content-centric network for autonomous driving
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DOI：
10.1145/2342356.2342403
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发表时间：
2012-08
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通讯作者：
Sowmya Vajjala
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作者：
Sowmya Vajjala
本文介绍了Carspeak，这是一种用于自动驾驶的通信系统。 Carspeak使汽车能够以类似于其本地传感器访问信息的方式查询和访问其他汽车捕获的感官信息。 Carspeak采用了一种以内容为中心的方法，其中信息对象（即道路沿线的地区）是一流的公民。它使用多分辨率系统命名并访问道路区域，这使其可以用可用的带宽扩展传输数据的量。 Carspeak还更改了MAC协议，因此，与媒介争夺媒介相比，竞争是在道路区域之间的争夺，而分配给任何区域的培养基份额取决于对该地区感兴趣的汽车数量。 Carspeak在最先进的自动驾驶系统中实施，并在室内和室外硬件测试床上进行了测试，包括自动高尔夫球车和10个IROBOT创建机器人。与直接使用802.11的基线相比，Carspeak将在障碍物周围导航的时间减少了2.4倍，并降低了由于可见性有限的14倍而导致碰撞的可能性。
This paper introduces CarSpeak, a communication system for autonomous driving. CarSpeak enables a car to query and access sensory information captured by other cars in a manner similar to how it accesses information from its local sensors. CarSpeak adopts a content-centric approach where information objects -- i.e., regions along the road -- are first class citizens. It names and accesses road regions using a multi-resolution system, which allows it to scale the amount of transmitted data with the available bandwidth. CarSpeak also changes the MAC protocol so that, instead of having nodes contend for the medium, contention is between road regions, and the medium share assigned to any region depends on the number of cars interested in that region. CarSpeak is implemented in a state-of-the-art autonomous driving system and tested on indoor and outdoor hardware testbeds including an autonomous golf car and 10 iRobot Create robots. In comparison with a baseline that directly uses 802.11, CarSpeak reduces the time for navigating around obstacles by 2.4x, and reduces the probability of a collision due to limited visibility by 14x.