4 accepted papers
With the rapid developments of autonomous driving technologies, accurate scene perception has become essential for safe and efficient navigation. The key perception tasks such as lane detection, semantic segmentation of road markings and road area, and object detection directly impact vehicle decisi…
The segmentation of road markings plays a crucial role in visual perception for the autonomous driving system. It enables vehicles to recognize road markings at the pixel-level, and facilitates subsequent path planning, localization, and map construction tasks. Current techniques mainly focus on nor
Traffic sign detection plays an essential role in advanced driver assistance system (ADAS) or self-driving vehicles. Typically, deep neural networks are employed to analyze road scene images captured by an onboard camera. However, due to the significant variation in appearance of different traffic s
Driver distraction detection is an important function of driver monitoring systems and intelligent vehicles. Most previous research only focuses on the system development for daytime operations. In this paper, we propose a network model, V2IA-Net, which is able to use the daytime visible and nightti…