We are moving towards an age of autonomous vehicles. Cycles of innovation initiated in the public and private sectors have led one into another since the 1990s; and out of these efforts have sprung a variety of Advanced Driver Assistance Systems and several functioning autonomous vehicles. The challenges that face autonomous vehicle are still significant. There is still technical work to be done to make sensors, algorithms, control schemes, and intelligence more effective and more reliable. As automation in vehicles increases, the associated human factors challenges become more complex. Then, there are a host of socioeconomic issues. Are autonomous vehicles legal; and who is liable if one crashes? How can we ensure privacy and security of data and automation systems? Finally, how might the wide adoption of autonomous vehicles affect society at large? It is hoped that when they appear, they will bring with them the promised benefits of safety, mobility, efficiency, and societal change.
Recently, 2D detection in images has made significant progress owing to the emergence of a convolutional neural network (CNN), which can extract high-...
Recently, 2D detection in images has made significant progress owing to the emergence of a convolutional neural network (CNN), which can extract high-...
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