5 accepted papers
Current parking slot detection in advanced driver-assistance systems (ADAS) primarily relies on ultrasonic sen-sors. This method has several limitations such as the need to scan the entire parking slot before detecting it, the incapacity of detecting multiple slots in a row, and the difficulty of cl…
To navigate safely in urban environments, an autonomous vehicle (ego vehicle) must understand and anticipate its surroundings, in particular the behavior and intents of other road users (neighbors). Most of the times, multiple decision choices are acceptable for all road users (e.g., turn right or l
Lane estimation plays a central role in the context of self-driving vehicles, requiring clear road markings and a high quality infrastructure. To meet the safety requirements and manage difficult use cases (i.e. poor quality or absence of road- marking, traffic jams, severe weather conditions, etc.)…
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vision algorithms on fisheye images. We release the…
Convolutional neural networks are commonly used to control the steering angle for autonomous cars. Most of the time, multiple long range cameras are used to generate lateral failure cases. In this paper we present a novel model to generate this data and label augmentation using only one short range…