Road-Based Driving Guidance With Virtual Racing Cues
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Solution Overview
Problem
Existing First-Person View (FPV) systems for radio-controlled vehicles lack guidance to improve driving skills, relying solely on repetitive practice without providing recommendations to enhance performance or reduce mistakes, and conventional driving assistance methods are vehicle-centric, failing to offer dynamic road-based guidance.
Innovation Solution
A driving guidance system that includes sensors and cameras along the driving route to collect and analyze data, generating real virtuality objects for display to drivers, providing real-time guidance on speed, path, and turning points, as well as comparing driving performance with others, and offering offline review capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If FPV systems rely solely on repetitive practice for skill improvement, then drivers can gain experience through continuous training, but driving skills improve slowly without targeted guidance and lap times remain suboptimal
Solution Approach 1:
The system implements real-time feedback by capturing driver behavior data through sensors and cameras, analyzing it via an analytic engine, and providing immediate guidance through a display interface. This closed-loop feedback mechanism allows drivers to adjust their technique during practice sessions, transforming unguided repetition into directed learning that rapidly improves skill and reduces lap times.
Solution Approach 2:
The system performs preliminary analysis of driving routes, identifying optimal paths, turning points, and speed zones before the driver completes a lap. By pre-processing route data and generating guidance parameters in advance, the system enables drivers to execute optimized driving lines from the start, reducing lap times without requiring extensive trial-and-error practice.
2Reliability
If conventional vehicle-centric driving assistance is used, then basic safety warnings can be provided, but dynamic road-based guidance and performance optimization are not achieved
Solution Approach 1:
The system transitions from vehicle-centric to road-centric guidance by anchoring the coordinate system to the driving route rather than the vehicle. Virtual guidance objects are positioned at specific locations along the route (turning points, speed zones, checkpoints) and provide guidance relative to road geometry and conditions. This dimensional shift enables dynamic, location-based guidance that adapts to changing road conditions and provides performance optimization beyond basic safety warnings.
Solution Approach 2:
The system integrates multiple functions into a unified guidance platform: safety monitoring through sensor data analysis, performance optimization via lap time comparison and technique feedback, route optimization through virtual object positioning, and skill development through repeated analysis. This multi-functional system simultaneously addresses safety, performance, and learning needs that conventional single-purpose assistance systems cannot fulfill.
3Measurement precision
If comprehensive data collection equipment is installed along the driving route, then accurate driving analysis and real-time guidance can be provided, but system complexity and installation requirements increase
Solution Approach 1:
The system merges multiple data collection functions into integrated guidance equipment units that combine cameras, sensors, and processing capabilities. By consolidating data acquisition, analysis, and guidance generation into unified system components rather than separate devices, the patent reduces installation complexity while maintaining comprehensive data collection for accurate driving analysis.
Data Source
AI summary
A driving guidance system that provides a driving guidance to a driver when the driver makes operations to remotely control a vehicle in a driving route. The driving guidance system includes at least one driving guidance equipment, an analytic engine, a control platform. The driving guidance equipment is distributed along the driving route for recording data of the vehicle. The analytic engine receives and analyzes the data of the vehicle to generate a plurality of features of the vehicle. The control platform further includes a real virtuality objects generator and a display. The real virtuality objects generator generates a plurality of real virtuality objects based on the features of the vehicle and the display shows the real virtuality objects to the driver of the vehicle for providing the driving guidance.