Simulators TRIZ Cases
- Vehicle Driving Control After Virtual Driving Behavior Shift
Mahalanobis-based driving analysis detects rough post-simulator behavior and adjusts torque and steering to reduce safety risk.
- GPU Radar Data Filtering for Faster Object Detection
Parallel GPU filtering uses threshold curves, data reduction, and importance sampling to speed noisy radar processing for AV detection.
- Adjustable PDR Training Frame for Realistic Panel Orientation
A pivoting frame with screw-lock mounting and replaceable dented panels lets students practice paintless dent repair in realistic orientations.
- Simulated LiDAR Point Clouds from RADAR and Camera Data
Deep learning turns sparse RADAR and image data into LiDAR-like 3D point clouds, cutting sensor cost and complexity for vehicles.
- Simulated Bicycle Steering Using Front Wheel Tilt and Pivot Support
A pivoting front wheel support combines steering and tilt sensing to deliver more realistic stationary bicycle simulation, including counter-steering.
- Adaptive Flight Training Lesson Sequencing by Cognitive Load
Pilot tasks are reordered by state and cognitive load to cut unproductive repetition, improve progress, and reduce flight school dropout rates.
- Radar Return Generator With I-Q Phasor Baseband Processing
See how I-Q phasor processing represents overlapped radar returns to preserve phase accuracy and reduce distortion.
- Stationary Bicycle Training Simulation Using Wearable Body-Position Sensors
Accelerometers and gyroscopes detect seated or standing posture, adjusting avatar position and wind resistance dynamically.
- Radar Interface Merging Live and Virtual Tracks
A radar interface merges live and virtual data streams to enable concurrent tracking of operational targets and training scenarios.
- Dynamic Vergence Correction for Binocular Displays
A binocular display system adjusts vergence based on tracked head position and angular orientation to maintain comfortable viewing.
- MIMO Radar Simulation Using Linear Approximation
A simulation method for MIMO radar raw data uses linear approximations of modified rays to reduce computational resource requirements.