Automated vehicles (AVs) are tested in diverse scenarios, typically specified by parameters such as velocities, distances, or curve radii. To describe scenarios uniformly independent of such parameters, this paper proposes a vectorized scenario description defined by the road geometry and vehicles' trajectories. Data of this form are generated for three scenarios, merged, and used to train the motion prediction model VectorNet, allowing to predict an AV's trajectory for unseen scenarios. Predicting scenario evaluation metrics, VectorNet partially achieves lower errors than regression models that separately process the three scenarios' data. However, for comprehensive generalization, sufficient variance in the training data must be ensured. ...
The abilities to understand the social interaction behaviors between a vehicle and its surroundings ...
Motion prediction is crucial in enabling safe motion planning for autonomous vehicles in interactive...
One core challenge in the development of automated vehicles is their capability to deal with a multi...
To validate the safety of automated vehicles (AV), scenario-based testing aims to systematically des...
To operate safely, an automated vehicle (AV) must anticipate how the environment around it will evol...
Scenario-based approaches for the validation of highly automated driving functions are based on the ...
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential t...
Scenario-based testing for automated driving systems (ADS) must be able to simulate traffic scenario...
Simulation of autonomous vehicle systems requires that simulated traffic participants exhibit divers...
Scenario generation is one of the essential steps in scenario-based testing and, therefore, a signif...
Trajectory generation and prediction are two interwoven tasks that play important roles in planner e...
Efficient testing and validation of software components for highly automate vehicles is one of the k...
A self-driving car which takes an autonomous decision needs three main building blocks, a perception...
Real-time safety systems are crucial components of intelligent vehicles. This paper introduces a pre...
Automated Vehicles (AVs) have a great potential to change transport fundamentally by making it safer...
The abilities to understand the social interaction behaviors between a vehicle and its surroundings ...
Motion prediction is crucial in enabling safe motion planning for autonomous vehicles in interactive...
One core challenge in the development of automated vehicles is their capability to deal with a multi...
To validate the safety of automated vehicles (AV), scenario-based testing aims to systematically des...
To operate safely, an automated vehicle (AV) must anticipate how the environment around it will evol...
Scenario-based approaches for the validation of highly automated driving functions are based on the ...
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential t...
Scenario-based testing for automated driving systems (ADS) must be able to simulate traffic scenario...
Simulation of autonomous vehicle systems requires that simulated traffic participants exhibit divers...
Scenario generation is one of the essential steps in scenario-based testing and, therefore, a signif...
Trajectory generation and prediction are two interwoven tasks that play important roles in planner e...
Efficient testing and validation of software components for highly automate vehicles is one of the k...
A self-driving car which takes an autonomous decision needs three main building blocks, a perception...
Real-time safety systems are crucial components of intelligent vehicles. This paper introduces a pre...
Automated Vehicles (AVs) have a great potential to change transport fundamentally by making it safer...
The abilities to understand the social interaction behaviors between a vehicle and its surroundings ...
Motion prediction is crucial in enabling safe motion planning for autonomous vehicles in interactive...
One core challenge in the development of automated vehicles is their capability to deal with a multi...