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Section: New Results
Functional equations
Participant : Guy Fayolle.
The article [13] presents functional equations (involving one or two complex variables) as an Important analytic method in stochastic modelling and in combinatorics.
Research Program
Application Domains
New Results
- Deep Reinforcement Learning for end-to-end driving
- Convolutional neural networks for Semantic and Completion with Sparse and Dense Data
- Realistic Weather Augmentation for Evaluation of Bad Weather in Computer Vision
- Perception for Cooperative Driving
- A Statistical Update of Grid Representations from Range Sensors
- Recognizing Pedestrians using Cross-Modal Convolutional Networks
- Vehicle Trajectory Prediction
- WiFi Fingerprinting Localization for Intelligent Vehicles in Car Park
- Enhancing the Accuracy of SLAM-based Localization Systems for Autonomous Driving
- LIDAR-based lane marking detection for vehicle localization
- Motion Planning among Highly Dynamic Obstacles
- Control Architecture for Adaptive and Cooperative Car-Following
- Stability analysis for controller switching in autonomous vehicles
- Belief propagation inference for traffic prediction
- Large scale simulation interfacing
- Platoons Formation for autonomous vehicles redistribution
- Prediction-based handover between VLC and IEEE 802.11p for vehicular environment
- Lane-Centering to Ensure the Visible Light Communication (VLC) Connectivity for a Platoon of Autonomous Vehicles
- Cyberphysical Constructs for Next-Gen Vehicles and Autonomic Vehicular Networks
- Functional equations
- Optimization of test case generation for ADAS via Gibbs sampling algorithms
- Random walks in orthants and lattice path combinatorics
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Research Program
Application Domains
New Results
- Deep Reinforcement Learning for end-to-end driving
- Convolutional neural networks for Semantic and Completion with Sparse and Dense Data
- Realistic Weather Augmentation for Evaluation of Bad Weather in Computer Vision
- Perception for Cooperative Driving
- A Statistical Update of Grid Representations from Range Sensors
- Recognizing Pedestrians using Cross-Modal Convolutional Networks
- Vehicle Trajectory Prediction
- WiFi Fingerprinting Localization for Intelligent Vehicles in Car Park
- Enhancing the Accuracy of SLAM-based Localization Systems for Autonomous Driving
- LIDAR-based lane marking detection for vehicle localization
- Motion Planning among Highly Dynamic Obstacles
- Control Architecture for Adaptive and Cooperative Car-Following
- Stability analysis for controller switching in autonomous vehicles
- Belief propagation inference for traffic prediction
- Large scale simulation interfacing
- Platoons Formation for autonomous vehicles redistribution
- Prediction-based handover between VLC and IEEE 802.11p for vehicular environment
- Lane-Centering to Ensure the Visible Light Communication (VLC) Connectivity for a Platoon of Autonomous Vehicles
- Cyberphysical Constructs for Next-Gen Vehicles and Autonomic Vehicular Networks
- Functional equations
- Optimization of test case generation for ADAS via Gibbs sampling algorithms
- Random walks in orthants and lattice path combinatorics
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography