Autonomous Vehicle Lateral Offset Control for User Comfort
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Solution Overview
Problem
Autonomous driving vehicles face challenges in maintaining user safety and comfort by accurately adjusting the lateral position on the road, especially when encountering obstacles or varying environments, without considering the driver's subjective preferences.
Innovation Solution
An autonomous driving vehicle system that includes processor circuitry and a user interface allowing users to adjust the lateral position based on predefined offsets, which can be learned and adapted over time, using data from sensors and cloud services to enhance user experience and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving vehicle uses pre-set default settings to control lateral position, then the control system is simple and reliable, but the user feels unsafe and uncomfortable when the vehicle drives too close to centre or sides
Solution Approach 1:
The system introduces feedback by detecting user reactions (steering wheel corrections, seat position adjustments, pedal inputs) and using this information to automatically adjust lateral position settings. This closed-loop feedback mechanism allows the system to adapt to user preferences while maintaining reliable autonomous control.
Solution Approach 2:
The system performs self-adjustment of lateral position parameters based on detected user behavior patterns. The processing circuitry automatically modifies default settings without requiring explicit user commands, enabling the vehicle to self-optimize for user comfort and safety perception.
2Ease of operation
If the autonomous driving vehicle continuously adjusts lateral position based on user input, then user safety perception is improved, but the system complexity increases
Solution Approach 1:
The system uses existing sensor data from the vehicle's autonomous driving suite (steering wheel sensors, seat sensors, pedal sensors) to detect user reactions without adding dedicated input devices. This self-service approach leverages available infrastructure to reduce overall system complexity while enabling continuous adaptation.
Solution Approach 2:
The processing circuitry performs multiple functions: it controls autonomous lateral positioning, detects user reactions through existing sensors, and automatically adjusts parameters. This multi-functionality consolidates what could be separate systems into a unified control architecture, managing complexity.
3Productivity
If the autonomous driving vehicle uses fixed default lateral position settings, then the control algorithm is simple and fast, but it cannot adapt to different user preferences and environmental conditions
Solution Approach 1:
The system transitions from static default settings to dynamic parameter adjustment based on real-time detection of user reactions. Lateral position parameters are continuously adapted during operation, allowing the system to respond to changing user preferences and environmental conditions while maintaining operational efficiency.
Solution Approach 2:
The processing circuitry automatically detects user reactions and adjusts lateral position settings without requiring explicit user commands or manual reconfiguration. This self-adjusting mechanism enables adaptation to user preferences while maintaining fast response times through automated decision-making.
Data Source
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AI summary
The invention relates to a method and an autonomous driving vehicle (1), comprising at least one processor circuitry (2) arranged to control a lateral position of the autonomous driving vehicle (1) during autonomous driving of the autonomous driving vehicle (1), and at least one user interface (3) arranged to receive an input indicative of an off-set (10) of the lateral position of the autonomous driving vehicle (1) from a user of the autonomous driving vehicle (1), wherein the processor circuitry (2) is arranged to receive, from the at least one user interface (3), information regarding the off-set (10) of the lateral position of the autonomous driving vehicle (1) during driving in the lateral position based on a default lateral position (20) of the autonomous driving vehicle (1) and to adjust the lateral position of the vehicle based on the off-set information.