AIForDriver is a driver assistance system designed to reduce stress, improve driving performance, and enhance safety.
AIForDriver for AIC
Decentralized nodes β’ Ethical scaling β’ auto-driven
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Analyze the driver's mental and physical state through sensors and behavioral data.
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Provide recommendations or warnings to improve concentration and reduce stress.
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Integrate AI technologies to support real-time decision-making.
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Recognizes driver emotions and fatigue levels.
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Suggests appropriate music, rest breaks, or route adjustments.
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Warns of distraction or drowsiness.
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Intuitive and easy-to-use interface.
AIForDriver/ β βββ core/ # TrΓ‘i tim hα» thα»ng, xα» lΓ½ thα»i gian thα»±c β βββ kernel/ # Bα» lΓ΅i (reactor loop, memory, adaptive runtime) β βββ protocol/ # Giao thα»©c giα»―a cαΊ£m biαΊΏn, AI vΓ trΓ¬nh Δiα»u khiα»n β βββ behavior/ # Logic hΓ nh vi Δiα»u khiα»n vΓ phαΊ£n α»©ng β βββ security/ # BαΊ£o vα», phΓ‘t hiα»n bαΊ₯t thΖ°α»ng, tα»± vα» β βββ modules/ # CΓ‘c module mα» rα»ng cΓ³ thα» thay thαΊΏ hoαΊ·c plug-in β βββ sensor/ # Camera, Lidar, Radar, IMU, GPS,... β βββ safety/ # Hα» thα»ng phanh, trΓ‘nh va chαΊ‘m, fallback β βββ control/ # Adaptive Control, PID/LQR/Fuzzy β βββ analytics/ # PhΓ’n tΓch dα»― liα»u, thα»ng kΓͺ, logs, hα»c tΔng cΖ°α»ng β βββ protocol/ # Giao thα»©c truyα»n thΓ΄ng & Δiα»u phα»i β βββ core/ # C++ lα»p Δiα»u phα»i chΓnh β β βββ control_channel.cpp β β βββ driver_state.cpp β β βββ emergency_protocol.cpp β β βββ sensor_sync.cpp β βββ lua/ # Layer trΓ tuα» thΓch nghi vΓ an toΓ n β βββ adaptive_driver.lua β βββ safety_trigger.lua β βββ runtime/ # CΖ‘ chαΊΏ chαΊ‘y vΓ phα»i hợp runtime (giα»ng Adaptive OS) β βββ executor.cpp # Bα» thα»±c thi nhiα»m vα»₯ (cΓ‘c lα»nh Δiα»u khiα»n) β βββ scheduler.cpp # LαΊp lα»ch phαΊ£n α»©ng theo chu kα»³ cαΊ£m biαΊΏn β βββ bridge_lua.cpp # Giao tiαΊΏp vα»i Lua layer β βββ event_loop.cpp # Reactor/Observer Δα» quαΊ£n lΓ½ sα»± kiα»n β βββ utils/ # Tiα»n Γch nα»n β βββ serializer.cpp β βββ checksum.cpp β βββ packet_parser.cpp β βββ compress.cpp β βββ logger.cpp β βββ config/ # Tα»p cαΊ₯u hΓ¬nh hα» thα»ng β βββ protocol_spec.json β βββ packet_structure.json β βββ adaptive_metadata.json β βββ version_manifest.yaml β βββ error_code.json β βββ docs/ # TΓ i liα»u nα»i bα» β βββ architecture.md β βββ design_notes.md β βββ safety_standards.md β βββ tests/ # Unit test vΓ simulation βββ test_protocol.cpp βββ test_lua_bridge.cpp βββ test_emergency.lua Sensors β SensorSync β DriverState β Lua:SafetyTrigger β Lua:AdaptiveDriver β ControlChannel β Vehicle Actuators β EmergencyProtocol (nαΊΏu cαΊ§n) Combining hardware response (C++) and software learning (Lua):
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C++: ensures immediate response, hardware control, real-time.
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Lua: adjusts strategies, adapts, self-learns, handles complex exceptions.
ββββββββββββββββββββββββββββ β Application Layer β β Dashboard, User Feedback, HMI ββββββββββββββββββββββββββββ€ β Adaptive Protocol β β Lua + Core for driver protocol. ββββββββββββββββββββββββββββ€ β Behavior Engine β β compiler, learning, behavior ββββββββββββββββββββββββββββ€ β Sensor Integration β β sensor, synchronize raw data ββββββββββββββββββββββββββββ€ β Runtime Layer β β Scheduler, Executor, Lua Bridge ββββββββββββββββββββββββββββ€ β Security Layer β β Self-defense, Intrusion detection ββββββββββββββββββββββββββββ€ β Kernel Layer β β Memory, State Control, Introspection ββββββββββββββββββββββββββββ | Phase | Mission | Main Components | | -------------------- | -------------------------------------------- | ------------------------------------------------- | | **11-12/2025** | Complete `protocol/core` + `lua` + bridge | `control_channel`, `lua_bridge`, safety unit test | | **Q1/2026** | Add `runtime/` and `security/` sandbox | `executor`, `scheduler`, `intrusion_detector` | | **Q2/2026** | Expand `behavior/` and `analytics/` | Reinforcement Learning, Behavior Log | | **Q3/2026** | Distributed connection (AIForDriver Cloud Network) | `p2p_protocol`, `trust_manager`, `update_sync` | git clone https://github.com/AdaptiveIntelligenceCircle/AIForDriver.git cd AIForDrivergcc -o helpdriver.cpp helpdriverThe system will begin collecting data and providing responses appropriate to the driver's state.
- Adaptive OS : https://github.com/AdaptiveIntelligenceCircle/AdaptiveOS
- DIP : https://github.com/AdaptiveIntelligenceCircle/DriverIntrospectiveProxy
Dα»± Γ‘n Δược phΓ‘t hΓ nh theo giαΊ₯y phΓ©p GNU GPL-3.0.
We welcome all contributions! Please create a pull request or open an issue for discussion.
The project is in its launch phase.
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