The role of machine vision for intelligent vehicles
B Ranft, C Stiller - IEEE Transactions on Intelligent vehicles, 2016 - ieeexplore.ieee.org
Humans assimilate information from the traffic environment mainly through visual
perception. Obviously, the dominant information required to conduct a vehicle can be …
perception. Obviously, the dominant information required to conduct a vehicle can be …
Set-based prediction of traffic participants on arbitrary road networks
M Althoff, S Magdici - IEEE Transactions on Intelligent Vehicles, 2016 - ieeexplore.ieee.org
Safety is of paramount importance in automated driving. One of the main challenges
ensuring safety is the unknown future behavior of surrounding traffic participants. Previous …
ensuring safety is the unknown future behavior of surrounding traffic participants. Previous …
Fail-safe motion planning of autonomous vehicles
S Magdici, M Althoff - 2016 IEEE 19th International Conference …, 2016 - ieeexplore.ieee.org
Formally verified methods for motion planning are required in order to guarantee safety for
autonomous vehicles. In particular, we consider trajectory generation by considering the …
autonomous vehicles. In particular, we consider trajectory generation by considering the …
Towards a framework for end-to-end control of a simulated vehicle with spiking neural networks
Spiking neural networks are in theory more computationally powerful than rate-based neural
networks often used in deep learning architectures. However, unlike rate-based neural …
networks often used in deep learning architectures. However, unlike rate-based neural …
Understanding interactions between traffic participants based on learned behaviors
Predicting vehicles' behaviors in a traffic scene can be very challenging due to many
influences. Especially interactions with other traffic participants like vehicles or pedestrians …
influences. Especially interactions with other traffic participants like vehicles or pedestrians …
Ego-lane estimation for lane-level navigation in urban scenarios
Future lane-precise navigation systems will recommend lane changes to drivers if needed.
To achieve this, robust lane-level localization on a navigable map is essential. We propose …
To achieve this, robust lane-level localization on a navigable map is essential. We propose …
Lane-level map-matching based on optimization
We propose a method for ego-lane estimation that can robustly determine the currently used
lane as required by future lane-precise navigation systems. It employs a lane-level map …
lane as required by future lane-precise navigation systems. It employs a lane-level map …
Simulation framework for the development of autonomous small scale vehicles
The development and validation of highly automated driving functions towards autonomous
driving requires efficient frameworks to reduce the necessity of expensive, time-consuming …
driving requires efficient frameworks to reduce the necessity of expensive, time-consuming …
Lane-precise localization of intelligent vehicles using the surrounding object constellation
Lane-precise localization of intelligent vehicles using the surrounding object constellation
Page 1 Lane-precise Localization of Intelligent Vehicles Using the Surrounding Object …
Page 1 Lane-precise Localization of Intelligent Vehicles Using the Surrounding Object …
Landmark-based localization for autonomous vehicles
R Spangenberg - 2016 - refubium.fu-berlin.de
Das autonome Transportwesen wird zu deutlichen Vorteilen im Bereich der Sicherheit,
Ökonomie und Ökologie führen. Obwohl die dafür notwendige Technologie schon seit …
Ökonomie und Ökologie führen. Obwohl die dafür notwendige Technologie schon seit …