Autonomous, network-independent vehicle system with physical starter chip card authorization and local decision intelligence
The autonomous vehicle system addresses vulnerabilities by using local sensors and decision logic with physical starter keys, ensuring offline operation and network independence, enhancing security and reducing costs.
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- HOGL PETER GEORG
- Filing Date
- 2025-12-10
- Publication Date
- 2026-06-18
AI Technical Summary
Existing autonomous vehicle systems rely on GPS, internet, and cloud services, making them vulnerable to power outages, high costs, security risks, external control, and network interference, lacking a fully offline and tamper-proof solution.
An autonomous vehicle system utilizing physical starter chip keys, local sensors (cameras, radar, lidar, ultrasound, inertial sensors), local AI decision logic, direct vehicle-to-vehicle communication, and local route planning, with tamper-proof hardware architecture, enabling offline operation and resistance to external network interference.
Ensures complete independence from GPS, internet, and cloud, providing secure, anonymous, and resilient operation with low costs, suitable for critical applications.
Abstract
Description
Technical field:
[0001] The invention relates to an autonomous vehicle system for passenger and freight transport. It relates in particular to a completely network-independent system for autonomous driving without the use of GPS, internet, WLAN or external cloud, with a physical starter chip card for authorized commissioning and with local sensor data evaluation, decision logic and safety monitoring.
[0002] The system can be used for: • Private transport • Fleet traffic • Public transport systems • Medical transport services • Governmental and state applications State of the art:
[0003] Almost all known autonomous vehicle systems today depend on: * GPS tracking * Mobile networks * Cloud servers * central data centers * permanent online connection
[0004] These dependencies lead to the following disadvantages: • Complete inoperability during power outages • High ongoing costs after cloud usage • Massive security risks due to hacker attacks • Position tracking and movement profiles • External control by external operators • Military vulnerability to GPS jamming. Furthermore, the activation of today's vehicles is carried out via: • Software - Accounts • Apps • Radio key • Biometric online services
[0005] These systems are: • Copyable • Vulnerable • Manipulable • Remotely switchable
[0006] A fully offline autonomous system with physical authorization does not exist in the current state of the art. Purpose of the invention:
[0007] The object of the invention is to provide an autonomous vehicle system that: • Completely without internet, GPS, or Wi-Fi. And cloud storage works. • Decisions are made exclusively locally • Not locatable isr. • Not externally manipulable • Offers the highest level of physical access security • Is suitable for civilian, governmental, and critical infrastructure • Can be operated in a load-bearing capacity Solution to the problem:
[0008] The task is solved by an autonomous vehicle system with the following key features: • Physical starter chip key for vehicle unlocking • Local sensor data acquisition using: • Cameras • Radar • Lidar • Ultrasound • Inertial sensors • Local AI-supported decision logic • Local route planning without external networks • Direct vehicle-to-vehicle communication • Independent energy management • Autonomous charging and operating strategy • Tamper-proof hardware architecture • Physical access separation of critical systems The vehicle is therefore completely autonomous, independent and resistant to external network interference. Advantages of the invention:
[0009] The invention has the following decisive advantages over the prior art: • No GPS required • No internet required • No cloud required • No external control possible • Not remotely switchable • Not hackable over networks • Can be operated anonymously • militarily undamaged • Suitable for disaster relief operations • Can be operated by the state or private sector • Extremely low operating costs • Full data sovereignty • No platform requirement • No subscription model required Examples of implementation: 1. Airport and railway station traffic:
[0010] Autonomous vehicles pick up passengers independently, take them to their destination and then automatically continue to the next deployment or charging point. 2. Medical transport:
[0011] Self-driving vehicles transport patients, medications, or medical equipment safely and independently of networks. 3. Disaster relief:
[0012] Autonomous vehicles supply isolated areas without network connections. State navies:
[0013] Police, authorities and critical infrastructure use the system without external dependencies. Industrial applicability:
[0014] The system can be manufactured industrially and used for: • Vehicle manufacturers • Public transport companies • Government agencies • Disaster relief • Medical logistics • Transport fleets • Export solutions
Claims
Vehicle with fully autonomous driving operation (Level 5 autonomy), comprising an electronic vehicle control system, sensor systems for environment and road detection, in particular cameras, LIDAR sensors and radar sensors, as well as a computing unit for autonomous execution of all driving functions for independent movement of the vehicle without human intervention, wherein control algorithms for safe navigation in different traffic situations are provided. Vehicle according to claim 1, wherein obstacles are detected in real time and the vehicle autonomously adjusts speed and direction, including emergency braking and lane changes. Security and tamper protection. The system continuously monitors sensors and control units; in the event of a malfunction or tampering, emergency measures are initiated. Communication interfaces with infrastructure / cloud: The vehicle communicates with traffic management systems via encrypted channels to dynamically optimize routes and receive traffic data. Vehicle according to one of claims 1 to 4, wherein critical components (sensors, control units, power supply) are designed redundantly, so that in the event of failure of one element a backup system automatically takes over. Vehicle according to one of claims 1 to 5, with user authentication only in defined exceptional cases, e.g. emergency button or authentication mechanism for passengers. Vehicle according to one of claims 1 to 6, with battery management system that monitors energy flow and charging status to prevent system failures. Vehicle according to any of the preceding claims 1 to 7, wherein offline maps and sensor data are combined in a navigation algorithm to autonomously determine the optimal routes. Vehicle according to any one of claims 1 to 8, wherein cameras, LIDAR, radar and other sensors provide data to a central algorithm that calculates driving decisions and issues control commands. Vehicle according to one of claims 1 to 9, comprising an emergency response mechanism which automatically initiates braking and evasive maneuvers in the event of sudden obstacles or system failures. Vehicle according to one of claims 1 to 10, with learning and adaptability, such that the system analyzes traffic patterns and environmental conditions and adjusts parameters of the driving control without compromising basic functions. Vehicle according to one of claims 1 to 11, wherein all data transmissions between vehicle, cloud and infrastructure are encrypted and access is only granted after authentication. Vehicle according to one of claims 1 to 12, with a dynamic traffic sign recognition system that automatically incorporates recognized restrictions into the control of speed and lane. Vehicle according to one of claims 1 to 13, wherein in the event of sudden weather changes, such as rain or snow, driving modes are automatically adjusted to ensure stability and safety. Vehicle according to one of claims 1 to 14, with integrated collision avoidance algorithm that takes into account pedestrians, other vehicles and static obstacles and calculates evasive maneuvers. Vehicle according to one of claims 1 to 15, with redundant power supply for critical control and sensor components, so that failures of individual modules do not cause any impairment of function. Vehicle according to one of claims 1 to 16, with real-time analysis of the vehicle environment by AI, which detects potential hazards and integrates recommendations for action into the control system. Vehicle according to one of claims 1 to 17, with adaptive route planning that takes into account traffic density, construction sites and disruptions and autonomously selects alternative routes. Vehicle according to one of claims 1 to 18, wherein internal diagnostic functions continuously check system components and automatically initiate countermeasures in case of anomalies. Vehicle according to one of claims 1 to 19, with a modular sensor platform that allows the integration of new sensor data without affecting the basic functions of autonomous driving. Vehicle according to one of claims 1 to 20, with integrated energy optimization that adjusts the energy consumption of the sensors, control units and motors in real time. Vehicle according to one of claims 1 to 21, with predictive obstacle detection that also detects stationary objects outside the line of sight and incorporates them into the incorrect decision, Vehicle according to one of claims 1 to 22, with automatic adjustment of the driving dynamics during cornering to ensure stability and comfort for passengers. Vehicle according to one of claims 1 to 23, with redundant communication interface which automatically switches to a backup system in the event of a channel failure. Vehicle according to one of claims 1 to 24, with continuous analysis of road surfaces to optimally adapt traction and braking force control. Vehicle according to one of claims 1 to 25, with automatic detection and prioritization of emergency vehicles in the vicinity, including lane adjustment. Vehicle according to any of the preceding claims 1 to 26, with self-learning AI that observes the driving behavior of other road users and predicts future movements. Vehicle according to any of the preceding claims 1 to 27, with integrated passenger safety monitoring, e.g. monitoring of seatbelt status and emergency responses. Vehicle according to any of the preceding claims 1 to 28, with automatic adjustment of the light and vision systems in changing light conditions, e.g. tunnel, rain or night driving. Vehicle according to any of the preceding claims 1 to 29, with cloud-based real-time traffic data integration to predict congestion and traffic problems and to adjust the route. Vehicle according to any of the preceding claims 1 to 30, with redundant braking and steering unit that automatically intervenes in the event of failure of the primary systems. Vehicle according to one of claims 1 to 31, with adaptive speed control that automatically takes into account local speed limits and traffic signs. Vehicle according to any of the preceding claims 1 to 32, with automatic parking space search and navigation, including parking in and out of complex environments. Vehicle according to any of the preceding claims 1 to 33, with continuous calibration of the sensors to correct measurement deviations due to temperature, aging or contamination. Vehicle according to any of the preceding claims 1 to 34, with redundant data processing unit that executes critical algorithms in parallel to avoid failures. Vehicle according to any of the preceding claims 1 to 35, with automatic detection of lane markings, even in poor visibility conditions or on damaged road surfaces. Vehicle according to any of the preceding claims 1 to 36, with integrated recognition of traffic signals and their interpretation for autonomous control. Vehicle according to any of the preceding claims 1 to 37, with predictive energy management to ensure uninterrupted journeys over longer distances. Vehicle according to one of the preceding claims 1 to 38, automatic adjustment of the suspension and damping to improve comfort and driving stability. Vehicle according to any of the preceding claims 1 to 39, with modular software architecture that integrates updates and new algorithms without interrupting the operation of existing functions. Vehicle according to any of the preceding claims 1 to 40, with integrated sensor monitoring that immediately detects and reports failures, malfunctions or deviations. Vehicle according to one of the preceding claims 1 to 41, with automatic lane adjustment during lane changes or narrow sections, based on real-time environmental analysis. Vehicle according to one of the preceding claims 1 to 42, with predictive energy planning for electric drive system taking into account the current route, traffic situation and payload. Vehicle according to any of the preceding claims 1 to 43, with integrated collision warning for nearby objects when starting off or turning. Vehicle according to any of the preceding claims 1 to 44, with automatic brake force adjustment for different road surfaces or weather conditions. Vehicle according to one of the preceding claims 1 to 45, with continuous analysis of the driving behavior of other road users for the optimization of one's own driving decisions. Vehicle according to any of the preceding claims 1 to 46, with redundant control of the steering and drive systems, which intervenes immediately in the event of failure of the primary systems. Vehicle according to any of the preceding claims 1 to 47, with AI-supported detection of pedestrians, cyclists and animals on the roadway. Vehicle according to any of the preceding claims 1 to 48, with automatic adjustment of speed for intersections, traffic lights or zebra crossings. Vehicle according to any of the preceding claims 1 to 49, with integrated system diagnostics that regularly checks the functionality of all sensors, controls and power supply. Vehicle according to any of the preceding claims 1 to 50, with automatic calculation of safe distances to other vehicles during urban and intercity driving. Vehicle according to any of the preceding claims 1 to 51, with adaptive control of the lighting system to improve visibility for sensors and passengers. Vehicle according to any of the preceding claims 1 to 52, with automatic identification and prioritization of rescue and emergency vehicles. Vehicle according to any of the preceding claims 1 to 53, with redundant data processing for critical driving decisions to minimize failure risks. Vehicle according to any of the preceding claims 1 to 54, with integration of real-time traffic information and construction site notifications into the driving strategy. Vehicle according to any of the preceding claims 1 to 55, with adaptive control of the air conditioning to optimize energy consumption and passenger comfort. Vehicle according to any of the preceding claims 1 to 56, with continuous calibration of the sensor platforms to minimize measurement errors due to aging or environmental influences. Vehicle according to any of the preceding claims 1 to 57, with modular software architecture for easy integration of new functions or security updates. Vehicle according to any of the preceding claims 1 to 58, with automatic detection of road obstacles such as potholes, construction sites or temporary closures. Vehicle according to any of the preceding claims 1 to 59, with predictive driving planning that optimizes traffic flow, speed and energy consumption. Vehicle according to any of the preceding claims 1 to 60, with integrated detection of road conditions such as slipperiness, wetness or ice and automatic adjustment of driving parameters. Vehicle according to any of the preceding claims 1 to 61, with redundant power supply for critical sensors and controls to avoid system failures. Vehicle according to any of the preceding claims 1 to 62, with automatic optimization of the braking distance taking into account speed, weight and road conditions. Vehicle according to any of the preceding claims 1 to 63, with adaptive control of steering angle and traction for cornering at different speeds. Vehicle according to any of the preceding claims 1 to 64, with continuous analysis of the environment by AI to detect and avoid potential hazards at an early stage. Vehicle according to any of the preceding claims 1 to 65, with automatic adjustment of the superposition in the event of changing road markings or temporary road shifts. Vehicle according to any of the preceding claims 1 to 66, with integrated detection and evaluation of road users such as cyclists, pedestrians and vehicles of any kind on secondary lanes. Vehicle according to any of the preceding claims 1 to 67, with self-learning route optimization based on historical traffic data and current traffic information. Vehicle according to any of the preceding claims 1 to 68, with automatic safety monitoring for passengers, e.g. seatbelt check and emergency responses. Vehicle according to any of the preceding claims 1 to 69, with adaptive light control that optimizes lighting and sensor performance under changing light conditions. Vehicle according to any of the preceding claims 1 to 70, with integrated detection and prioritization of emergency vehicles in the vicinity. Vehicle according to any of the preceding claims 1 to 71, with automatic analysis and adjustment of the vehicle speed before intersections and traffic lights. Vehicle according to any of the preceding claims 1 to 72, with continuous system diagnostics of all control and sensor components to increase operational safety. Vehicle according to any of the preceding claims 1 to 73, with automatic calculation of safety distances to vehicles driving ahead and following. Vehicle according to any of the preceding claims 1 to 74, with adaptive control of the suspension to improve comfort and stability. Vehicle according to any of the preceding claims 1 to 75, with a modular software platform that allows easy integration of new functions without disrupting ongoing operation. Vehicle according to any of the preceding claims 1 to 76, with predictive energy management for longer distances taking into account route, traffic and vehicle load. Vehicle according to any of the preceding claims 1 to 77, with automatic detection and adaptation to temporary road closures or construction sites. Vehicle according to any of the preceding claims 1 to 78, with redundant data processing of critical control algorithms to minimize failure risks. Vehicle according to any of the preceding claims 1 to 79, with continuous monitoring of the road and traffic environment by AI to optimize dynamic driving decisions. Vehicle according to any of the preceding claims 1 to 80, with automatic detection and reaction to unexpected obstacles such as animals, objects or damaged road surfaces. Vehicle according to any of the preceding claims 1 to 81, with predictive speed control taking into account gradients, curves and road conditions. Vehicle according to any of the preceding claims 1 to 82, with adaptive climate control that optimizes energy consumption and passenger comfort. Vehicle according to any of the preceding claims 1 to 83, with AI-supported analysis of the movement patterns of other vehicles for predicting traffic behavior. Vehicle according to any of the preceding claims 1 to 84, with redundant control of brake and steering components to safeguard critical safety functions in case of failure. Vehicle according to any of the preceding claims 1 to 85, with automatic adjustment of the direction of travel in case of road narrowing or lane changes. Vehicle according to any of the preceding claims 1 to 86, with continuous calibration of the sensor platforms to compensate for measurement deviations due to aging or environmental conditions. Vehicle according to any of the preceding claims 1 to 87, with automatic integration of new sensor types or software updates without interrupting ongoing operation. Vehicle according to any of the preceding claims 1 to 88, with predictive route planning that takes into account traffic jams, construction sites and traffic obstructions. Vehicle according to any of the preceding claims 1 to 89, with integrated detection of pedestrians, cyclists, animals and other road users, even in complex urban environments. Vehicle according to any of the preceding claims 1 to 90, with adaptive driving dynamics control for different weather conditions such as rain, snow or ice. Vehicle according to any of the preceding claims 1 to 91, with continuous monitoring of the system integrity of the control and sensor components. Vehicle according to any of the preceding claims 1 to 92, with automatic calculation of safe distances to obstacles and other vehicles in all traffic situations. Vehicle according to any of the preceding claims 1 to 93, with automatic adjustment of the lighting and sensors in varying light conditions, e.g. tunnels or night driving. Vehicle according to any of the preceding claims 1 to 94, with self-learning AI that analyzes traffic behavior and predicts future movements of other road users. Vehicle according to any of the preceding claims 1 to 95, with emergency response systems that automatically trigger safety measures in the event of sensor or control failure. Vehicle according to any of the preceding claims 1 to 96, with cloud-based data integration for optimizing driving strategy, energy consumption and safety. Vehicle according to any of the preceding claims 1 to 97, with continuous system diagnostics for early detection of anomalies and automatic initiation of countermeasures. Vehicle according to any of the preceding claims 1 to 98, with complete encryption of all data transmissions between vehicle, cloud and infrastructure, wherein access is only granted after authentication. Vehicle according to any of the preceding claims 1 to 99, characterized in that the autonomous driving operation of the vehicle is only activated after successful authentication via a starter chip card, wherein the starter chip card provides cryptographic identification and enables the release of the autonomous control of the vehicle only upon valid authentication. Vehicle according to any of the preceding claims 1 to 100, characterized in that the vehicle has a voice interface via which passengers or authorized users can control driving commands, target specifications or system functions of the autonomous vehicle by means of spoken language in any language. Vehicle according to any of the preceding claims 1 to 101, characterized in that the voice interface comprises voice or speech recognition, wherein only registered or authorized persons can activate or change certain functions of the vehicle. Vehicle according to any of the preceding claims 1 to 102, characterized in that the autonomous vehicle system is configurable for both civilian applications, in particular for private vehicles or taxi fleets, and military applications, whereby different operating modes or safety parameters can be activated.