Pre-License Driving Tool for Real-Time Coach Feedback
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Solution Overview
Problem
There is a need for effective tools to assist novice drivers and their coaches in improving driving skills, as car accidents are common among young and novice drivers, and existing training methods may not adequately provide real-time feedback and coaching during the learning process.
Innovation Solution
A suite of pre-license applications that collect drive data, detect driving events, and provide real-time coaching information to coaches and drivers, including predictive coaching for future events, using connected devices such as smartphones and vehicle computing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time coaching information is provided to coaches during driving, then driving skill improvement is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces a computing device as an intermediary that collects drive data from sensors, processes it to detect drive events, and generates coaching information. This intermediary system bridges the gap between raw driving data and actionable coaching feedback, resolving the contradiction by automating the complex processing tasks rather than requiring direct human analysis of multiple data streams.
Solution Approach 2:
The system implements real-time feedback by continuously monitoring drive data, detecting drive events, and providing coaching information to coaches during driving sessions. This closed-loop feedback mechanism enables skill improvement by allowing coaches to immediately address observed driving behaviors, while the automated nature of the feedback system manages the complexity burden.
2Measurement precision
If drive data is collected and analyzed in real-time, then coaching accuracy is improved, but use of energy increases
Solution Approach 1:
The patent extracts only the essential drive data elements needed for coaching purposes (acceleration, deceleration, steering input, brake application) from the overall driving experience. By selectively collecting and analyzing only these critical parameters rather than all possible driving data, the system achieves sufficient coaching accuracy while minimizing energy consumption associated with data collection and processing.
3Reliability
If predictive coaching for future drive events is provided, then driving skill improvement is enhanced, but loss of time in processing increases
Solution Approach 1:
The system performs preliminary analysis of drive data to predict future drive events before they occur. By proactively identifying patterns and anticipating upcoming maneuvers or potential hazards, the system can provide coaches with advance coaching information, allowing them to prepare targeted feedback rather than reacting to events after they happen, thus enhancing skill improvement while managing processing time efficiently.
Data Source
AI summary
Methods, computer-readable media, software, and apparatuses provide a tool for use by drivers and/or coaches throughout the pre-license stage of obtaining a driver's license. A pre-license program may control a computing device to collect drive data while a driver is driving a vehicle. This drive data may be used to detect a drive event. Then, the computing device may present coaching information associated with the detected drive event. The coaching information may provide a passenger, such as a coach or parent, with real-time advice for instructing the driver how to improve his/her driving skills. Moreover, the drive data collected may be used to prepare reports providing feedback to the drivers and coaches.