Curvy Road Vehicle Control Using Curvature and Weather Data
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Solution Overview
Problem
Existing driving assist systems fail to effectively assist vehicle navigation on curvy roads, especially in inclement weather conditions where lanes may be obscured or worn, requiring frequent manual adjustments in speed and steering by the driver.
Innovation Solution
A vehicle control system that utilizes independent wheel motors and steering actuators, combined with road and weather information, to automatically adjust vehicle speed and wheel angles for stable navigation on curvy roads, utilizing AI/ML for optimizing and reusing calculated data for similar conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional driving assist systems are used, then lane guidance is provided when lanes are visible, but the system fails to assist when lanes are obscured by snow, water, or wear
Solution Approach 1:
The patent introduces an intermediary approach by using detected lane information as a mediator between the visible road markings and the navigation system. When lanes are visible, the system detects and uses this information; when obscured, it transitions to using stored curvature data as an alternative mediator, ensuring continuous navigation assistance across all road conditions
Solution Approach 2:
The system changes the parameter of navigation data source based on road conditions. It dynamically switches between using real-time lane detection data and pre-stored road curvature data, adapting the input parameters to the current visibility and road condition state to maintain reliable guidance
2Ease of operation
If manual steering and speed control are used on curvy roads, then vehicle navigation is possible, but the driver must perform frequent lateral movements, braking, and steering adjustments
Solution Approach 1:
The system performs preliminary action by pre-storing road curvature information and calculating optimal navigation parameters before the vehicle encounters curvy sections. This advance preparation allows the automated control system to immediately execute smooth speed and steering adjustments without requiring reactive manual interventions during curve navigation
Solution Approach 2:
The system enables self-service by implementing automated speed and steering control that independently manages vehicle navigation through curvy roads. The control system uses stored curvature data to automatically adjust vehicle parameters, eliminating the need for driver intervention and reducing both operational effort and time loss
3Reliability
If automated speed and steering control is implemented, then stable navigation on curvy roads is achieved, but the system requires processing and storage of road and weather information
Solution Approach 1:
The system applies preliminary action by pre-storing essential road curvature information and weather data before navigation is needed. This advance data collection and storage reduces the real-time processing burden, allowing the control system to rely on pre-computed parameters while maintaining stable and reliable automated navigation through curvy sections
Solution Approach 2:
The system implements local quality by focusing computational resources on storing and processing only the specific road curvature and weather parameters relevant to curvy section navigation. Rather than comprehensively analyzing all possible vehicle and environmental variables, it concentrates on the critical local factors that directly impact stable navigation through curves
Data Source
AI summary
A vehicle including a transceiver, a wheel drive motor and a processor is disclosed. The transceiver may be configured to receive road information and weather information, and the wheel drive motor may be configured to control torque of a vehicle wheel. The processor may be configured to receive a trigger signal when the vehicle approaches a curvy road. The processor may be further configured to obtain the road information and the weather information from the transceiver responsive to obtaining the trigger signal. The road information may include radius of curvature of the curvy road. The processor may calculate a vehicle speed based on the obtained road information and the weather information. The processor may further transmit a command signal to the wheel drive motor to vehicle wheel control torque based on the vehicle speed.