Name: Mobile Perception Systems Lab at TU/e
Type: Organization
Bio: The MPS lab focuses on technologies that allow moving sensor platforms to perceive their environment.
Location: Eindhoven, The Netherlands
Blog: https://www.tue-mps.org/
Mobile Perception Systems Lab at TU/e's Projects
Adaptive Local-then-Global Merging (ALGM)
ALGM applied to Segmenter
This is a repository about trajectory prediciton with continual learning
Content-aware Token Sharing (CVPR 2023)
Content-aware Token Sharing applied to Segmenter
Deep Adaptive Multi-intention Inverse Reinforcement Learning
Model-Free Inverse Reinforcement Learning with Multi-Intention, Incomplete, and Overlapping Demonstrations
Pytorch implementation for Single and Multi-Task Learning Through Multi-Modal Sensor Fusion on RADIal dataset
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
A Resource Efficient Fusion Network for Object Detection in Bird’s-Eye View using Camera and Raw Radar Data
[Re] Object Detection Meets Knowledge Graphs
RiskNet: Learning to Predict Collision Risk from Simulated Optical Flow
code and data for paper "Self-Supervised Road Layout Parsing with Graph Auto-Encoding"
Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation
[CVPR 2024] Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Unified pedestrian path prediction framework using reinforcement learning
Multi-objective urban driving with TLDQN RL algorithm