There are numerous real-world applications of computer vision technology in the transportation sector with the objective of e.g. improving the safety of the driver, making the driving more convenient or allowing the driver perform other tasks during parts of the trip through autopiloting the vehicle. Examples include driver attention systems to monitor driver behaviour, active safety systems to detect potential dangers, and around-view systems to make parking a pleasant experience. Other recent examples include the cooperative autonomous car trains where vehicles communicate with each other allowing cooperative driving.
Example application: Driver attention systems
Computer vision technology is a core component in any driver attention system. Visual features including head pose and eyes are tracked in a video sequence to establish the state and focus of attention of the driver. The objective may be to determine whether the driver is about to fall asleep and therefore raise an alert, or to adapt the user interface depending on the main focus of the driver attention. In the case of active safety systems, the object of interest is the environment surrounding the vehicle as opposed to the driver. The objective may be to identify any potential obstacles on the road including wild life and pedestrians.