Feature Engineering and Deep Learning for Stereo Matching Under Adverse Driving Conditions
Stereo matching is a challenging research topic in driving assistance systems. Existing stereo matching methods work well under normal day-light conditions. However, they fail to operate under adverse driving conditions,
Stereo matching is a challenging research topic in driving assistance systems. Existing stereo matching methods work well under normal day-light conditions. However, they fail to operate under adverse driving conditions,
challenging research topic, normal day-light conditions, driving assistance systems, Existing stereo matching methods, adverse driving conditions
