
-
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
Accurately predicting the possible behaviors of traffic participants is ...
read it
-
Multi-agent Interactive Prediction under Challenging Driving Scenarios
In order to drive safely on the road, autonomous vehicle is expected to ...
read it
-
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Accurately tracking and predicting behaviors of surrounding objects are ...
read it
-
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors
Accurately predicting future behaviors of surrounding vehicles is an ess...
read it
-
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory
Understanding human driving behavior is important for autonomous vehicle...
read it
-
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
In order to drive safely and efficiently under merging scenarios, autono...
read it
-
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model
For autonomous agents to successfully operate in real world, the ability...
read it
-
A Framework for Probabilistic Generic Traffic Scene Prediction
In a given scenario, simultaneously and accurately predicting every poss...
read it
-
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Autonomous vehicles should be able to generate accurate probabilistic pr...
read it
-
Probabilistic Prediction of Vehicle Semantic Intention and Motion
Accurately predicting the possible behaviors of traffic participants is ...
read it