A camera-based method evaluates parking spaces using multiple selection criteria with assigned priorities to identify the optimal gap.
A laser scanner unit tracks directional and distance indications of objects within a confined scan area to provide precise spatial data.
A dynamic driving information graph visualizes ambient vehicle states and positions outside the driver's view.
An LSTM network predicts future object positions from raw sensor data, resolving the contradiction between high prediction accuracy and system complexity.
A driver assistance system calculates functionality timing using Pieron's law to adapt to human reaction speed.
Wireless telematics units calculate relative motion parameters between vehicles to provide early collision warnings, preventing accidents at high speeds.
A collision prediction apparatus fuses radar and image data to identify targets.