ALVINN-On-A-Chip: A Computational Sensor for Road Following

卡纳德这个项目正在建造和部署一种用于道路跟踪的智能成像传感器。该传感器通过观察道路来生成驾驶机器人车辆所需的航向信息。芯片上的处理是由训练成在公共高速公路上自动驾驶的神经网络执行的。执行神经计算的电路与光电传感器阵列集成在一起，以便直接感测道路图像信息。光电传感器阵列包括每个单元中的模拟信号处理和二元光学，以实现更好的光子统计、减小换能器尺寸和更少的干扰。

Kanade This project is building and deploying an intelligent imaging sensor for road following. The sensor generates the heading information required to steer a robotic vehicle by watching the road. On-chip processing is performed by a neural network trained to drive autonomously on public highways. The circuitry which performs the neural computations is integrated with a photosensor array in order to directly sense road-image information. The photosensor array includes analog signal processing in each cell and binary optics for better photon statistics, decreased transducer size, and less interference.