161 citations · 338 across the 33 of their papers we have counts for
7 papers · 1 filter
Towards Traffic Scene Description: The Semantic Scene Graph
Maximilian Zipfl, J. Marius Zöllner
For the classification of traffic scenes, a description model is necessary that can describe the scene in a uniform way, independent of its domain. A model to describe a traffic sc…
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
Daniel Bogdoll, Johannes Jestram, Jonas Rauch +3
In the foreseeable future, autonomous vehicles will require human assistance in situations they can not resolve on their own. In such scenarios, remote assistance from a human can…
Self-Supervised Action-Space Prediction for Automated Driving
Faris Janjoš, Maxim Dolgov, J. Marius Zöllner
Making informed driving decisions requires reliable prediction of other vehicles' trajectories. In this paper, we present a novel learned multi-modal trajectory prediction architec…
Description of Corner Cases in Automated Driving: Goals and Challenges
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker +4
Scaling the distribution of automated vehicles requires handling various unexpected and possibly dangerous situations, termed corner cases (CC). Since many modules of automated dri…
Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems
Daniel Bogdoll, Stefan Orf, Lars Töttel +1
Corner cases for driving automation systems can often be detected by the system itself and subsequently resolved by remote humans. There exists a wide variety of technical approach…
Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality
Lars Töttel, Maximilian Zipfl, Daniel Bogdoll +2
One core challenge in the development of automated vehicles is their capability to deal with a multitude of complex trafficscenarios with many, hard to predict traffic participants…
Temporal Feature Networks for CNN based Object Detection
Michael Weber, Tassilo Wald, J. Marius Zöllner
For reliable environment perception, the use of temporal information is essential in some situations. Especially for object detection, sometimes a situation can only be understood…