Autonomous Vehicles and Drive Assist Systems --AI/ML
Our Advanced Driver Safety Assist System (ADSAS) designs provide a framework for multiple vehicle configurations; safer Autonomous Vehicle driving, and safer traditional ADAS driving.
- AI — World-View Deep Learning Models
- AI — Transformer Models
- Safety Centric AI Designs
- Specialized AI AV Datasets
- World-View AI Model Training
- Multiple AI Vehicle Configurations
NetAirus Systems Designs
NetAirus Systems Designs
- Panatem™-V Framework
- DNN, CNN, and GAN Designs
- Adversarial Training – Domain Adaption
- Augmented Datasets
- Autonomous Vehicle (AV) Systems
- Advanced Driver Safety Assist System (ADSAS)
- Multiple ADSAS Vehicle Configurations
- Motion Prediction Models for Safety
- Situation Control Module Adapted to _____
- ADSAS Safety Measures
- Vehicle Safety/Risk Assessments
- Object Detection Adapted to _________
- Occupancy Flow Methods for ADSAS
- Solid State Lidar Systems Designs
- Multi-band Radar Imaging
- RGB Camera Sensors
- AV Sensor Suite Optimized for ADSAS
- AI Model Testing and Optimization
- Vehicle _______ Program Modes
- ADSAS Safety Prediction Models
- ADSAS Data Flows Adapted to ________
- ADSAS Training Procedures
- AI Networks Adapted 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 for _______
ADSAS Vehicle Drive Assist Systems
- Secure Entry Systems/Programs
- Vehicle Secure and Assist Systems
- Secure Wireless Remote Design for ______
- Verification System and Programs
- Multiple Vehicle System Modes
- Wireless Device Tracking of ________
- In-Vehicle Item Detection System for ______
- GPS/5G Navigation adapted to _______
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.