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“Watch out!”: prediction-level intervention for automated driving
It seems that autonomous driving systems are substituting human responsibilities in the
driving task. However, this does not mean that vehicles should not interact with their driver …
driving task. However, this does not mean that vehicles should not interact with their driver …
Human-vehicle cooperation on prediction-level: Enhancing automated driving with human foresight
To maximize safety and driving comfort, autonomous driving systems can benefit from
implementing foresighted action choices that take different potential scenario developments …
implementing foresighted action choices that take different potential scenario developments …
Distributive justice as an ethical principle for autonomous vehicle behavior beyond hazard scenarios
Through modern driver assistant systems, algorithmic decisions already have a significant
impact on the behavior of vehicles in everyday traffic. This will become even more prominent …
impact on the behavior of vehicles in everyday traffic. This will become even more prominent …
Hybrid eyes: Design and evaluation of the prediction-level cooperative driving with a real-world automated driving system
While automated driving systems (ADS) have progressed fast in recent years, there are still
various situations in which an ADS cannot perform as well as a human driver. Being able to …
various situations in which an ADS cannot perform as well as a human driver. Being able to …
[HTML][HTML] Tactile encoding of directions and temporal distances to safety hazards supports drivers in overtaking and intersection scenarios
Safe traffic participation requires continuous monitoring of the environment for potential
safety hazards. Here we investigate, to what extent an interface using directed tactile stimuli …
safety hazards. Here we investigate, to what extent an interface using directed tactile stimuli …
[PDF][PDF] Driving situation analysis with relational local dynamic maps (R-LDM)
In the automotive domain, the concept of Local Dynamic Maps (LDM) is currently used to
describe a central storage place where static, quasi-static and dynamic road information is …
describe a central storage place where static, quasi-static and dynamic road information is …
Intelligent traffic flow assist: Optimized highway driving using conditional behavior prediction
Many conventional systems for driver assistance on highways determine vehicle motion
based on static situation configurations only. Adaptive Cruise Control systems for example …
based on static situation configurations only. Adaptive Cruise Control systems for example …
The importance of balanced data sets: Analyzing a vehicle trajectory prediction model based on neural networks and distributed representations
Predicting future behavior of other traffic participants is an essential task that needs to be
solved by automated vehicles and human drivers alike to achieve safe and situation-aware …
solved by automated vehicles and human drivers alike to achieve safe and situation-aware …
Risk estimation for driving support and behavior planning in intelligent vehicles
J Eggert - at-Automatisierungstechnik, 2018 - degruyter.com
Vehicles will be equipped with sensors and functions for highly automated driving in the
foreseeable future. A big topic of research on the way to this goal is how to convey to these …
foreseeable future. A big topic of research on the way to this goal is how to convey to these …
An investigation of vehicle behavior prediction using a vector power representation to encode spatial positions of multiple objects and neural networks
Predicting future behavior and positions of other traffic participants from observations is a
key problem that needs to be solved by human drivers and automated vehicles alike to …
key problem that needs to be solved by human drivers and automated vehicles alike to …