research
∙
01/23/2023
Learning to View: Decision Transformers for Active Object Detection
Active perception describes a broad class of techniques that couple plan...
share
research
∙
10/21/2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
One key challenge for multi-task Reinforcement learning (RL) in practice...
research
∙
02/28/2022
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud
Environment perception including detection, classification, tracking, an...
research
∙
02/28/2022
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR
Enabling Cooperative Driving Automation (CDA) requires high-fidelity and...
research
∙
01/28/2022
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey
Object detection plays a fundamental role in enabling Cooperative Drivin...
research
∙
01/24/2022
Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform
Endowed with automation and connectivity, Connected and Automated Vehicl...
research
∙
06/19/2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
The evaluation of rare but high-stakes events remains one of the main di...
research
∙
01/24/2020
