Off-Road Track Scoring for Alternative Route Recommendation
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Solution Overview
Problem
Off-road drivers often become bored or complacent with familiar driving courses and lack awareness of alternative tracks that offer more challenges or similarities, leading to a desire for a solution to recommend alternative off-road tracks based on evaluated attributes and user preferences.
Innovation Solution
An off-road evaluation system that uses sensors to assess vehicle operating conditions and track attributes, assigning scores and recommending alternative tracks based on comparison with stored data in a database, allowing drivers to explore new and challenging routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If drivers repeatedly visit the same off-road track, then they become familiar with the driving challenges, but they become bored and complacent
Solution Approach 1:
The system collects sensor data from vehicle operation and driver input to evaluate track attributes and difficulty levels. This feedback loop allows the system to learn from repeated visits and provide increasingly relevant track recommendations, preventing boredom while maintaining appropriate challenge levels
Solution Approach 2:
The system dynamically adjusts track recommendations based on accumulated data about driver preferences and performance. Rather than static recommendations, the system evolves its suggestions as it learns more about the driver's skill level and preferences, keeping the experience engaging over time
2Adaptability or versatility
If drivers visit unfamiliar off-road tracks, then they may find new challenges, but they lack awareness of available alternative tracks
Solution Approach 1:
The system acts as an intermediary between the driver and the vast database of available off-road tracks. It processes driver preferences and performance data, then translates this into curated recommendations from the available track options, making the information accessible and actionable for the driver
Solution Approach 2:
The system pre-evaluates and stores attributes of multiple off-road tracks in advance in a database. When a driver uses the system, the recommendations are already prepared based on pre-processed track data, providing immediate value without requiring the driver to search or evaluate tracks manually
3Measurement precision
If the system evaluates and stores detailed track attributes, then it can provide accurate recommendations, but the system complexity increases
Solution Approach 1:
The evaluation system divides track assessment into separate modular sensor components, each measuring specific attributes like terrain roughness, slope, or curvature. This segmentation allows the system to collect detailed data through simple, dedicated sensors rather than requiring a single complex evaluation mechanism
Solution Approach 2:
The system automatically processes and stores sensor data without requiring manual intervention. The processor autonomously evaluates track attributes from sensor inputs and populates the database, eliminating the need for manual track surveying or data entry while maintaining high evaluation accuracy
Data Source
AI summary
The disclosure generally pertains to recommending an alternative off-road track to a driver of a vehicle. In an example method, a processor receives a sensor signal that is generated in response to an operating condition of the vehicle on an off-road track. The operating condition can include, for example, an angular orientation of a chassis portion of the vehicle with respect to a ground surface (yaw, pitch, roll, etc.), steering characteristics, speed characteristics, and/or braking characteristics. The processor evaluates the sensor signal to identify an attribute of the off-road track, such as, for example, a difficulty factor and/or a challenge level. The processor may assign a track score to the off-road track based on the attribute and may provide to the driver, a recommendation for use of another off-road track based on comparing the first track score to a second track score associated with the other off-road track.