Waymo llc (20240351590). Using Driver Assistance to Detect and Address Aberrant Driver Behavior simplified abstract
Contents
Using Driver Assistance to Detect and Address Aberrant Driver Behavior
Organization Name
Inventor(s)
David Harrison Silver of San Carlos CA (US)
Using Driver Assistance to Detect and Address Aberrant Driver Behavior - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240351590 titled 'Using Driver Assistance to Detect and Address Aberrant Driver Behavior
The technology described in the abstract focuses on identifying and addressing aberrant driver behavior by evaluating various driving operations over different time scales and distances. The system can detect driving errors and suboptimal maneuvering, comparing them against a model of expected driver behavior to alert the driver or take corrective action.
- The system evaluates driving errors and suboptimal maneuvering.
- It compares these against a model of expected driver behavior.
- It can alert the driver or take corrective driving action.
- The technology can be used for real-time or offline training purposes.
- The behavior model may be driver-specific or based on aggregated information from many drivers.
Potential Applications: - Driver safety systems in passenger vehicles, buses, and cargo trucks. - Real-time driver feedback and coaching. - Calibration of onboard driver assistance systems.
Problems Solved: - Addressing aberrant driver behavior. - Improving overall driving safety. - Providing real-time feedback to drivers.
Benefits: - Enhanced driver safety. - Reduced risk of accidents. - Improved driving performance.
Commercial Applications: Title: Advanced Driver Behavior Monitoring System This technology can be used in the automotive industry to enhance driver safety, improve driving performance, and reduce the risk of accidents. It can be integrated into vehicles to provide real-time feedback to drivers and optimize driving behavior.
Questions about Advanced Driver Behavior Monitoring System: 1. How does the technology compare driving errors against a model of expected driver behavior? The system evaluates driving errors and suboptimal maneuvering, comparing them against a model of expected driver behavior to identify aberrant behavior.
2. What are the potential applications of this technology beyond passenger vehicles? This technology can also be applied to buses, cargo trucks, and other vehicles to improve overall driving safety and performance.
Original Abstract Submitted
the technology relates to identifying and addressing aberrant driver behavior. various driving operations may be evaluated over different time scales and driving distances. the system can detect driving errors and suboptimal maneuvering, which are evaluated by an onboard driver assistance system and compared against a model of expected driver behavior. the result of this comparison can be used to alert the driver or take immediate corrective driving action. it may also be used for real-time or offline training or sensor calibration purposes. the behavior model may be driver-specific, or may be a nominal driver model based on aggregated information from many drivers. these approaches can be employed with drivers of passenger vehicles, busses, cargo trucks and other vehicles.
