Autonomous Vehicle Path Control for Stable Driver Intervention
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Solution Overview
Problem
As vehicle autonomy increases, there is a need for a system that interacts with the driver to adjust vehicle control according to their desires and abilities, as existing interfaces may not accurately transmit driver inputs, potentially leading to reduced accuracy and worsened driving experiences.
Innovation Solution
A method involving a sensor system and processing circuits to detect environmental data and driver inputs, calculate a travel path, and adjust vehicle control signals to maintain a stable state while allowing the driver to intervene and influence the driving style, using a human-machine interface and actuator decoupling to prevent critical driving states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous driving control is increased to reduce driver workload, then driver assistance is improved, but driver input accuracy and driving experience deteriorate due to interface translation losses
Solution Approach 1:
The system continuously monitors driver state through sensors (eye tracking, steering behavior, pedal pressure) and provides real-time feedback by adjusting vehicle control responses. This closed-loop feedback mechanism compensates for interface translation losses by adapting the vehicle's reactions to match the driver's actual intentions and physical state, thereby maintaining input accuracy despite autonomous intervention.
Solution Approach 2:
The control system acts as an intelligent intermediary between the driver and vehicle actuators. Rather than direct one-to-one mapping, the intermediary interprets driver inputs through multiple sensor modalities, calculates optimal vehicle responses considering autonomous driving objectives, and executes refined control commands. This intermediary layer recovers precision lost in translation by using multiple measurement points and contextual understanding.
2Extent of automation
If autonomous control assumes full responsibility for vehicle operation, then driver intervention is reduced, but adaptability to individual driver preferences and abilities deteriorates
Solution Approach 1:
The system dynamically adjusts the level of autonomous intervention based on real-time assessment of driver state, environmental conditions, and learned driver preferences. The control authority is not fixed but continuously modulated - sometimes allowing full driver control, sometimes taking over completely, and often operating in a collaborative mode where autonomous and driver inputs are combined. This dynamic adaptation maintains versatility across different driving scenarios and individual driver characteristics.
Solution Approach 2:
The system changes multiple control parameters simultaneously including intervention threshold, control gain, response timing, and actuator force distribution. By adjusting these parameters based on driver profile and situational context, the system adapts its autonomous behavior to match individual driver preferences while maintaining high automation levels. For example, it can modify steering torque feedback or acceleration response curves to align with a particular driver's style.
3Speed
If driver input is directly transmitted to vehicle actuators, then control responsiveness is improved, but safety is reduced due to potential critical driving states
Solution Approach 1:
The system performs preliminary calculations of multiple possible travel paths and evaluates their safety characteristics before executing any control action. When a driver input is received, the system has already pre-computed safe response options and can immediately select and execute the appropriate pre-evaluated path. This preliminary preparation maintains responsiveness by avoiding real-time optimization delays while ensuring safety through advance validation of control commands.
Solution Approach 2:
In critical situations where direct driver input would lead to unsafe states, the system skips the direct transmission path and rapidly executes a corrected control command instead. The system monitors driver inputs and when hazards are detected, it rushes through the correction process by immediately overriding the problematic input with a safe alternative command, minimizing the time the vehicle spends in an unsafe state while still responding quickly to the original driver intention.
Data Source
AI summary
Disclosed are methods and devices for autonomous movement of a vehicle in optimized dynamic driving state. A method comprises: detecting environmental data of a vehicle; calculations of a first travel path of the vehicle to a destination, and calculations of a vehicle state at at least one point of this travel path; detecting a driving instruction of a driver; determining a correlation value based on the driving instruction and the precalculated travel path and/or the precalculated vehicle state; checking whether the correlation value falls below a critical limit value; and if the correlation value falls below a critical limit value, converting a data point detected that is characteristic of the state and/or the driving instruction of the driver into a control signal. The control signal then may energize the vehicle on a second travel path leading to the same destination, wherein the vehicle adopts a stable vehicle state.