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09/18/2023
Hierarchical Attention and Graph Neural Networks: Toward Drift-Free Pose Estimation
The most commonly used method for addressing 3D geometric registration i...
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08/08/2023
Interpretable Goal-Based model for Vehicle Trajectory Prediction in Interactive Scenarios
The abilities to understand the social interaction behaviors between a v...
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05/06/2020
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation
Predicting the trajectories of surrounding agents is an essential abilit...
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05/06/2020
Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving
For autonomous vehicles to navigate in urban environment, the ability to...
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08/02/2018
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation
Convolutional neural networks are designed for dense data, but vision da...
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07/06/2018
End-to-End Race Driving with Deep Reinforcement Learning
We present research using the latest reinforcement learning algorithm fo...
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12/04/2012
An ontology-based approach to relax traffic regulation for autonomous vehicle assistance
Traffic regulation must be respected by all vehicles, either human- or c...
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10/19/2010