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SDAV — SmartData for Autonomous Vehicles
1. Overview
SmartData for Autonomous Vehicles (SDAV) is an internal LISHA project that aims at adapting EPOS and SmartData to support applications in the Autonomous Vehicles scenario, developing additional runtime components that are specific to such applications.
2. Project Documents
3. Models
4. Datasets
5. Assets
- Yolo Explained
- Previous experiences on Path and Motion Planning
- Modeling Dynamic Systems Using Neural Networks based on Physical Properties
5.1. Platform
5.2. Autonomy
- SDAV Artery Simulation
- Camera Perception for Lane Tracking
- Embedded MultiSmartData
- Multimedia using SmartData
- Path Planning
- Decision Making
- Model Predictive Control
5.3. Autonomy Y2
- Sensor and ECU Setup
- Perception Sensor Fusion
- PINNs Applied to Vehicle Mass Estimation
- Ecologic Driving Profiling
- Secure V2X
6. Technical Documentation