TY  - JOUR
PY  - 2023//
TI  - Does the condition of the road markings have a direct impact on the performance of machine vision during the day on dry roads?
JO  - Vehicles (Basel)
A1  - El Krine, Abdessamad
A1  - Redondin, Maxime
A1  - Girard, Joffrey
A1  - Heinkele, Christophe
A1  - Stresser, Aude
A1  - Muzet, Valérie
SP  - 286
EP  - 305
VL  - 5
IS  - 1
N2  - The forthcoming arrival of automated vehicles (AV) on the roads requires the re-evaluation or even adaptation of existing infrastructures as they are currently designed on the basis of human perception. Indeed, advanced driver-assistance systems (ADAS) do not necessarily have the same needs as drivers to detect road markings. One of the main challenges related to AV is the optimisation of the vehicle-infrastructure pair in order to guarantee the safety of all users. In this context, we compared the performance of a vehicle equipped with an ADAS machine-vision system with a dynamic retroreflectometer during the daytime on a road section. Our results questioned the reliability of the literature thresholds of the luminance contrast ratio on a dry road under sunny conditions. Despite the presence of old and worn road markings, the ADAS camera was able to detect the edge lines in more than 90% of the cases. The non-detections were not related to the poor condition of the markings but to the environmental conditions or the complexity of the infrastructure.<p />  <p>Language: en</p>
LA  - en
SN  - 2624-8921
UR  - http://dx.doi.org/10.3390/vehicles5010016
ID  - ref1
ER  -