research
∙
08/19/2023
SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM
Integrating CNNs and RNNs to capture spatiotemporal dependencies is a pr...
share
research
∙
06/25/2023
Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Scene information plays a crucial role in trajectory forecasting systems...
research
∙
06/06/2023
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Large language models (LLMs) encode a vast amount of world knowledge acq...
research
∙
03/29/2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Predicting the future trajectories of the traffic agents is a gordian te...
research
∙
03/16/2023
Commonsense Knowledge Assisted Deep Learning for Resource-constrained and Fine-grained Object Detection
In this paper, we consider fine-grained image object detection in resour...
research
∙
11/02/2022
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning
Heterogeneous trajectory forecasting is critical for intelligent transpo...
research
∙
02/03/2022
Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
Trajectory forecasting is critical for autonomous platforms to make safe...
research
∙
10/09/2019
A Bayesian Nonparametric Framework for Uncertainty Quantification in Simulation
When we use simulation to assess the performance of stochastic systems, ...
research
∙
03/15/2019
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
In autonomous driving community, numerous benchmarks have been establish...
research
∙
03/07/2019
