This paper briefly surveys the recent progress on visual perception algorithms and their
corresponding hardware implementations for the emerging application of autonomous …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Ensuring the safety of fully autonomous vehicles requires a multi-disciplinary approach
across all the levels of functional hierarchy, from hardware fault tolerance, to resilient …

This work addresses the semantic segmentation of images of street scenes for autonomous
vehicles based on a new RGB-Thermal dataset, which is also introduced in this paper. An …

Cameras are a crucial exteroceptive sensor for self-driving cars as they are low-cost and
small, provide appearance information about the environment, and work in various weather …

In order to ensure reliable autonomous driving, the system must be able to detect future
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …

As long as automated vehicles are not able to handle driving in every possible situation,
drivers will still have to take part in the driving task from time to time. Recent research …

Predicting the movement of other traffic participants is an integral part in the motion planning
of most automated road vehicles. While simple predictions, eg based on assuming constant …

In this paper, we present an algorithm for lateral control of a vehicle—a smooth and accurate
model predictive controller (MPC). The fundamental difference compared to a standard MPC …

Each year, millions of motor vehicle traffic accidents all over the world cause a large number
of fatalities, injuries and significant material loss. Automated Driving (AD) has potential to …