Abstract
The requirements for automotive lighting systems, especially the light patterns ensuring driver perception, are based on criteria related to the headlamps, rather than the light perceived by drivers and road users. Consequently, important factors such as pavement reflectance, driver age, or time of night, are largely ignored. Other factors such as presence of other vehicles, vehicle speed and weather conditions are considered by the Adaptive Driving Beam (ADB) and Adaptive Front-lighting System (AFS) respectively, though with no information regarding the visual perception of drivers and other road users. Evidently, it is simpler to simulate and measure the light emitted by the lamps than the light reflected by the pavement or emitted by other vehicles. However the current technology in cameras and light sensors, communication protocols, and control of Light Emitting Diodes (LED), combined with decision-making techniques applied to large amounts of data, can open a new era in the operation of headlamps and thus ensure the visual needs of drivers in real time and under actual road conditions. The solution lies in an interaction road-sensor-headlamp, which is not based on the light emitted by headlamps, but rather on the light perceived by the drivers. This study thus proposes a dual grid based on luminance and luminous intensity, which would manage the headlamps by optimizing driver perception and the safety of all road users.
Highlights
Lighting and signaling systems in motor vehicles have progressed just as quickly as the most cuttingedge systems in modern cars
The requirements for automotive lighting systems, especially the light patterns ensuring driver perception, are based on criteria related to the headlamps, rather than the light perceived by drivers and road users
Important factors such as pavement reflectance, driver age, or time of night, are largely ignored. Other factors such as presence of other vehicles, vehicle speed and weather conditions are considered by the Adaptive Driving Beam (ADB) and Adaptive Front-lighting System (AFS) respectively, though with no information regarding the visual perception of drivers and other road users
Summary
Lighting and signaling systems in motor vehicles have progressed just as quickly as the most cuttingedge systems in modern cars This constant innovation has frequently permitted the implementation of new technologies even before regulations included them. Observations, field research, and experience [1,2,3] led to the approval of more exhaustive regulations such as the ECE 123 [4] In spite of their relative complexity, AFS and ADB are not expert systems since there is no learning from the inputs, and the fixed outputs only depend on a few binary parameters (e.g., highway or conventional road, adverse or favorable weather, etc.). The result is a real-time adaptation of headlamp output to the needs of drivers in each moment and circumstance
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