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| en:safeav:curriculum:introduction [2025/11/04 15:07] – raivo.sell | en:safeav:curriculum:introduction [2025/11/17 08:31] (current) – airi | ||
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| * **SafeAV Hands-on Guide** – offers practical laboratory and simulation exercises that allow students to perform verification and validation tasks using real and virtual autonomous platforms. | * **SafeAV Hands-on Guide** – offers practical laboratory and simulation exercises that allow students to perform verification and validation tasks using real and virtual autonomous platforms. | ||
| - | **Terminology note.** In this document, the SafeAV curriculum is the unified framework that defines the overall programme architecture, | + | **Terminology note.** In this document, the SafeAV curriculum is the unified framework that defines the overall programme architecture, |
| The SafeAV curriculum architecture defines the overall structure, modular hierarchy, and learning flow that connects theoretical knowledge, simulation-based validation, and experimental practice. It ensures coherence between study levels and provides a clear path from basic understanding to advanced assurance of autonomous vehicle safety. | The SafeAV curriculum architecture defines the overall structure, modular hierarchy, and learning flow that connects theoretical knowledge, simulation-based validation, and experimental practice. It ensures coherence between study levels and provides a clear path from basic understanding to advanced assurance of autonomous vehicle safety. | ||
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| For this reason, the SafeAV Handbook presents most topics in two levels of depth. Students who already have sufficient background or wish to advance further can continue directly to the next sub-sections, | For this reason, the SafeAV Handbook presents most topics in two levels of depth. Students who already have sufficient background or wish to advance further can continue directly to the next sub-sections, | ||
| - | Therefore, the level designation in this curriculum should be interpreted as indicative of content depth—Basic and Advanced—rather than as a strict separation between Bachelor and Master academic degrees. | + | Therefore, the level designation in this curriculum should be interpreted as indicative of content depth—Basic and Advanced rather than as a strict separation between Bachelor and Master academic degrees. |
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| This ensures consistency across partner universities while maintaining flexibility for local adaptation and future extension. | This ensures consistency across partner universities while maintaining flexibility for local adaptation and future extension. | ||
| - | ===== Abbreviation ===== | ||
| - | ^ Abbreviation ^ Meaning | | ||
| - | | AI | Artificial Intelligence | | ||
| - | | AI/ML | Artificial Intelligence / Machine Learning | | ||
| - | | ADAS | Advanced Driver Assistance Systems | | ||
| - | | AV | Autonomous Vehicle | | ||
| - | | AVSC | Autonomous Vehicle Safety Consortium | | ||
| - | | ASIL | Automotive Safety Integrity Level | | ||
| - | | CBMC | C Bounded Model Checker | | ||
| - | | CI/CD | Continuous Integration / Continuous Delivery (or Deployment) | | ||
| - | | CISPR | International Special Committee on Radio Interference | | ||
| - | | CNN | Convolutional Neural Network | | ||
| - | | CMMI | Capability Maturity Model Integration | | ||
| - | | CTL | Computation Tree Logic | | ||
| - | | DAL | Design Assurance Level | | ||
| - | | DDS | Data Distribution Service (for Real-Time Systems) | | ||
| - | | DO-178C | Software Considerations in Airborne Systems and Equipment Certification | | ||
| - | | ECTS | European Credit Transfer and Accumulation System | | ||
| - | | EMC | Electromagnetic Compatibility | | ||
| - | | EMI | Electromagnetic Interference | | ||
| - | | FCC | Federal Communications Commission | | ||
| - | | FSM | Finite State Machine | | ||
| - | | GNSS | Global Navigation Satellite System | | ||
| - | | HIL | Hardware-in-the-Loop | | ||
| - | | HMI | Human–Machine Interface / Interaction | | ||
| - | | IEC | International Electrotechnical Commission | | ||
| - | | IMU | Inertial Measurement Unit | | ||
| - | | ISO | International Organization for Standardization | | ||
| - | | ITC | Industry Technologies Consortia (in SAE ITC) | | ||
| - | | ITU | International Telecommunication Union | | ||
| - | | JAUS | Joint Architecture for Unmanned Systems | | ||
| - | | KITTI | Karlsruhe Institute of Technology and Toyota Technological Institute dataset | | ||
| - | | LiDAR | Light Detection and Ranging | | ||
| - | | LoD | Language of Driving | | ||
| - | | LTL | Linear Temporal Logic | | ||
| - | | MCU | Microcontroller Unit | | ||
| - | | MIL | Model-in-the-Loop | | ||
| - | | MOOC | Massive Open Online Course | | ||
| - | | MPC | Model Predictive Control | | ||
| - | | MQTT | Message Queuing Telemetry Transport | | ||
| - | | NuScenes | “New Scenes” autonomous driving dataset (Motional/ | ||
| - | | ODD | Operational Design Domain | | ||
| - | | OTA | Over-the-Air (updates) | | ||
| - | | PBE | Physics-Based Execution | | ||
| - | | PX4 | Open-source Autopilot Platform (PX4) | | ||
| - | | QoS | Quality of Service | | ||
| - | | RL | Reinforcement Learning | | ||
| - | | ROS | Robot Operating System (ROS 1) | | ||
| - | | ROS2 | Robot Operating System 2 | | ||
| - | | SBC | Single Board Computer | | ||
| - | | SBOM | Software Bill of Materials | | ||
| - | | SIL | Software-in-the-Loop | | ||
| - | | SLAM | Simultaneous Localization and Mapping | | ||
| - | | SOTIF | Safety Of The Intended Functionality (ISO 21448) | | ||
| - | | SoC | System on Chip | | ||
| - | | SPA | Sense–Plan–Act (paradigm) | | ||
| - | | SPIN | Simple Promela Interpreter (model checker) | | ||
| - | | UML | Unified Modeling Language | | ||
| - | | UAV | Unmanned Aerial Vehicle | | ||
| - | | UL | Underwriters Laboratories | | ||
| - | | UPPAAL | Timed-automata-based model checker (UPPAAL tool) | | ||
| - | | V&V | Verification and Validation | | ||
| - | | V-Model | Verification and Validation V-Model lifecycle | | ||
| - | | Waymo | Waymo Open Dataset (autonomous driving) | | ||
