Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods

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