Autonomous Vehicles and Drive Assist Systems --AI/ML
NetAirus Designs
NetAirus Designs
Autonomous Vehicle Systems:
• Autonomous Systems Adapted to an Advanced Driver Safety Assist System (ADSAS)
• AI and ML Programs Designed for ADSAS
• Data Integration and Situation Control Modules
• Detection Control Designed to _________
• Sensor Array Optimized for __________
• _________ Testing and Optimization
• Vehicle _______ Program Modes
• ADSAS Algorithm Data Flows
• _______ Situation Control Designs
• Data Integration Module Adapted to _______
• Integrated 5G/WiFi Networks
• Road and Traffic Network Integration
• Networks Configured to _________
• Data Recording and Analysis Programs
Autonomous Vehicle Systems (Continued)
- ADSAS Data Flows Adapted to ________
- ADSAS Training ________ Procedures
- AI and ML Algorithms Designed to _______
- Bias-Variance Tradeoff
- Input Space Dimensionality
- Data Heterogeneity
- Reducing Noise in Output Values
- Redundancy in the Data
- Interactions and Non-linearities
- Supervised Learning Adapted to _______
Vehicle Drive Assist Systems
• _________ Secure Entry System/Programs
• Vehicle Secure and Assist Systems
• Secure Wireless Remote Program for ______
• Verification System and Programs
• Vehicle _______ System Modes
• Wireless Device Tracking of ________
• In-Vehicle Item Detection System for ______
• GPS/5G _______ Tracking and Navigation System
(Trade secret matters in the above headings are redacted with underline markings)
Related Content/Links:
Most vehicle manufacturers (including Tesla) are working on fully autonomous vehicles in various forms (i.e.; cars, trucks, taxis etc.). Google’s Waymo autonomous car may be the most advanced experimental vehicle presently reported to date. Waymo has recently reported on an Advance Simulation System. This simulation system is an ambitious project that attempts to predict almost all city and rural vehicle movements and road situations. NetAirus believes their simulation system is too ambitious, because many actions are simply unpredictable. Some companies apply AI to their autonomous test vehicles such as discussed in AI as a killer app from Brooking.com. This report, in part, notes some governments are very concerned about level of safety in autonomous vehicles. Nvidia Corp. has posted information on their Software-defined Autonomous Vehicle platform. NetAirus distinguishes its designs from others by taking a different approach to the autonomous vehicle problem. NetAirus’ designs introduce a suite of proprietary techniques and methods, including AI/ML algorithms, sensor arrays, data fusion, and 5G networks.