The interest in autonomous driving has continuously increased in the last two decades. However, to be adopted, such critical systems need to be safe. Concerning the perception of the ego-vehicle environment, the literature has investigated two different types of methods. On the one hand, traditional analytical methods generally rely on handcrafted designs and features while on the other hand, learning methods aim at designing their own appropriate representation of the observed scene.

中文翻译：

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自动驾驶汽车感知的自我监督学习：分析和学习方法之间的协调

在过去的二十年中，人们对自动驾驶的兴趣不断增加。然而，要被采用，这种关键系统需要是安全的。关于自我车辆环境的感知，文献研究了两种不同类型的方法。一方面，传统的分析方法通常依赖于手工设计和特征，而另一方面，学习方法旨在设计自己对所观察场景的适当表示。