Here is a cool low light image enhancement video that shows you can still extract information from heavily compressed dark imagery. I can imagine Tesla not using it because it would be very computationally expensive. But maybe they can incorporate something into their feature extraction network?
If they have training data in the dark, their system may be able to pick up objects in low light, but having enough data to train and balancing the training data between day and night and all other scenarios would be tough. Some simpler algorithms, like Haar-cascades, work well in low light because it calculates a simple difference between areas, but the CNNs they use require lots of data and better training. Only if we can get explainable AI working well so the algorithms can tell us what they are seeing.