This thesis is about saving lives in traffic. Much has been done to improve internal safety for
the passengers in the car—airbags, deformation zones, etc. However, for pedestrians, little …

The notion of pedestrian detection is used in computer vision, which not only detects
humans but also counts the numbers of pedestrians and determines their movement in real …

In urban environments traffic safety is primarily determined by the successful interaction
between road users. In order to define behavioral requirements for future autonomous …

Automatic detection of the pedestrian lane in a scene is an important task in assistive and
autonomous navigation. This paper presents a vision-based algorithm for pedestrian lane …

In this paper, we propose a trajectory prediction method that takes into account pedestrian
behavior. To realize safe automated driving in urban areas, it is necessary to predict the …

In this work, we propose a subsystem to handle pedestrians in crosswalks using deep
neural networks for the IARA autonomous car, which relies on camera and LIDAR data …

In this paper, we study the problem of detecting sudden pedestrian crossings to assist
drivers in avoiding accidents. This application has two major requirements: to detect …

Vehicular technology has recently gained increasing popularity, and autonomous driving is
a hot topic. To achieve safe and reliable intelligent transportation systems, accurate …

The progress in pedestrian and cyclist safety enhancement is the result of multi-stage work,
which bases mainly on the appropriate traffic organization and road engineering. However …

While it is a hot issue whether cars could drive by themselves in emergent situations without
any kind of human interference, pedestrian detection is the key technology in autonomous …