By either autonomously steering or braking, accidents can be avoided or mitigated by a number of active safety functions which are available on the market today. However, these functions are often tailored for specific accident types and for each type either braking or steering may be possible. This contribution considers an algorithm for threat assessment which can be used in general traffic situations not only to decide if an intervention is necessary to avoid an accident, but also to select which type of intervention, steering or braking. The algorithm is evaluated on four accident types: rear-end accidents showing how the appropriate intervention depends on the lateral offset between host vehicle and target vehicle; single-target straig...
This paper presents a probabilistic framework for decision-making in collision avoidance systems, ta...
This work proposes a vehicle collision avoidance strategy based on the usage of Geometrical Based St...
This thesis proposes a novel automotive safety function that utilizes information about the host veh...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
Road traffic accidents are one of the world’s largest public health problems. In the EU alone, traff...
This thesis is concerned with decision-making in systems that can detect hazardous traffic situation...
<p>Road traffic accidents are one of the world’s largest public health problems. In the EU alone, tr...
Rear-end collisions are common accident scenarios and a frequent cause of these accidents is driver ...
This paper presents a method for estimating how the driver of a vehicle can use steering, braking or...
This paper presents a method for estimating how the driver of a vehicle can use steering, braking or...
This paper presents a model-based algorithm that estimates how the driver of a vehicle can either st...
This paper presents a model-based algorithm that estimates how the driver of a vehicle can either st...
This work proposes a vehicle collision avoidance strategy based on the usage of Geometrical Based St...
This paper presents a probabilistic framework for decision-making in collision avoidance systems, ta...
This work proposes a vehicle collision avoidance strategy based on the usage of Geometrical Based St...
This thesis proposes a novel automotive safety function that utilizes information about the host veh...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
By either autonomously steering or braking, accidents can be avoided or mitigated by a number of act...
Road traffic accidents are one of the world’s largest public health problems. In the EU alone, traff...
This thesis is concerned with decision-making in systems that can detect hazardous traffic situation...
<p>Road traffic accidents are one of the world’s largest public health problems. In the EU alone, tr...
Rear-end collisions are common accident scenarios and a frequent cause of these accidents is driver ...
This paper presents a method for estimating how the driver of a vehicle can use steering, braking or...
This paper presents a method for estimating how the driver of a vehicle can use steering, braking or...
This paper presents a model-based algorithm that estimates how the driver of a vehicle can either st...
This paper presents a model-based algorithm that estimates how the driver of a vehicle can either st...
This work proposes a vehicle collision avoidance strategy based on the usage of Geometrical Based St...
This paper presents a probabilistic framework for decision-making in collision avoidance systems, ta...
This work proposes a vehicle collision avoidance strategy based on the usage of Geometrical Based St...
This thesis proposes a novel automotive safety function that utilizes information about the host veh...