Digital image quality is generally far inferior to naked eye visibility, but even in the image, the pedestrian can be seen for at least a full second.
The driver clearly was unfortunately not paying attention. She clearly reacts within a few hundred milliseconds of looking up, which is to say immediate reaction time in terms of mental processing. That means that we cannot use her reaction time to gauge how early she could have seen the pedestrian to compensate for poorer optics of digital cameras.
As I understand LIDAR, it should work even at night (as it generates its own light and measures response time). This is a pedestrian, walking across a road, with nothing possible to occlude her. There is no reason it should not have identified an obstacle in the road (she's been in the road for several seconds, after all, having crossed at least 3 lanes of traffic by that point). Even if the visual camera had problems identifying the object, LIDAR should have flagged it.
The driver clearly was unfortunately not paying attention. She clearly reacts within a few hundred milliseconds of looking up, which is to say immediate reaction time in terms of mental processing. That means that we cannot use her reaction time to gauge how early she could have seen the pedestrian to compensate for poorer optics of digital cameras.
As I understand LIDAR, it should work even at night (as it generates its own light and measures response time). This is a pedestrian, walking across a road, with nothing possible to occlude her. There is no reason it should not have identified an obstacle in the road (she's been in the road for several seconds, after all, having crossed at least 3 lanes of traffic by that point). Even if the visual camera had problems identifying the object, LIDAR should have flagged it.