In the last years autonomous driving has been, and continues to be nowadays, one of the most trending topics in the automotive environment. The progress performed in that field is continuously growing, also thanks to a huge amount of investments done by all the main car manufacturers. Vision systems play a key role into this process of driving automation, that’s why during this work two of them will be accurately analyzed through a validation procedure that allows to evaluate their limits and the main critical issues depending on the environmental conditions. The two systems that will be analyzed are: a lane detection system (fundamental to perform autonomous lane keeping) and an object detection system (needed for a lot of functions like the automatic braking or the recognition of road signs).