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 …

Multi-task learning is commonly used in autonomous driving for solving various visual
perception tasks. It offers significant benefits in terms of both performance and computational …

Moving Object Detection (MOD) is an important task for achieving robust autonomous
driving. An autonomous vehicle has to estimate collision risk with other interacting objects in …

Cameras are an essential part of sensor suite in autonomous driving. Surround-view
cameras are directly exposed to external environment and are vulnerable to get soiled …

Modern autonomous vehicles are required to perform various visual perception tasks for
scene construction and motion decision. The multiobject tracking and instance segmentation …

Image quality is a well understood concept for human viewing applications, particularly in
the multimedia space, but increasingly in an automotive context as well. The rise in …

Automated Parking is becoming a standard feature in modern vehicles. Existing parking
systems build a local map to be able to plan for maneuvering towards a detected slot. Next …

Optimizing the quality of result (QoR) and the quality of service (QoS) of AI-empowered
autonomous systems simultaneously is very challenging. First, there are multiple input …

Trailers are commonly used for transport of goods and recreational materials. Even for
experienced drivers, manoeuvres with trailers, especially reversing can be complex and …

Moving Object Detection (MOD) is a critical task for autonomous vehicles as moving objects
represent higher collision risk than static ones. The trajectory of the ego-vehicle is planned …