End-to-end self-driving approach independent of irrelevant roadside objects with auto-encoder - Wang T, Luo Y, Liu J, Chen R, Li K.

On a highway, the frequency of occurrence of irrelevant features, such as trees, varies a lot in different scenes. A limitation of the deep conventional neural networks used in end-to-end self-driving systems is that if the incoming images contain too much...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Engineering, Physics, Structural Soundness and Failure Source Type: news