Application of image sensors in autonomous driving systems

In this paper, the author seeks to understand how image sensors are utilized in an ADS. Particularly, it focuses on the manner in which image sensors acquire the environmental information necessary for safe and efficient vehicular operation. The work contrasts the two prominent image sensors: the CCD and CMOS detectors, focusing on the shift from CCDs to CMOS in ADSs since the latter is less power hungry, works at a faster rate, and is easier to implement. The paper then goes further and compares new CMOS sensor technologies such as High Dynamic Range (HDR), Noise reduction and Event-driven Vision Sensors which enhance system performance under dynamic situations. Furthermore, the study also looks into the use of image sensors in the perception, decision-making, and control of ADS where the communication and integration with other sensors are brought up in creating a complete model of the surroundings. The paper concludes with a discussion on the use of image sensors in ADSs, particularly in enabling parking and navigating complex weather conditions.