Turn Path Visualization for Obstacle-Aware Turning Guidance
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Solution Overview
Problem
Existing sensor-based driving aids often rely solely on alerts, which may be distracting and insufficient to ensure timely driver response, particularly in complex driving scenarios like turns in heavy traffic or low visibility conditions.
Innovation Solution
A system utilizing a controller that integrates data from various sensors (cameras, RADAR, LIDAR, GPS, and V2V transceivers) to analyze obstacles and driver intent, generating a safe turn path and visualizing it on a display to guide the driver, while also considering vehicle properties and street data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor-based alerts are provided to drivers, then obstacle detection capability is improved, but driver distraction and insufficient response time occur
Solution Approach 1:
The system performs preliminary actions by calculating the turn path and identifying obstacles before the driver completes the maneuver. It proactively determines whether obstacles intersect with the calculated turn path and prepares guidance information in advance, allowing the driver to respond timely without being surprised by late alerts.
Solution Approach 2:
The system introduces an intermediary guidance system that acts as a mediator between raw sensor data and driver decision-making. Instead of directly alerting drivers to obstacles, the system processes sensor data through path calculation and intersection analysis, then presents processed turn path guidance information that helps drivers understand the spatial relationship between their vehicle and obstacles.
2Device complexity
If simple alert systems are used, then device complexity is reduced, but situational awareness and safety guidance are insufficient
Solution Approach 1:
The system achieves multi-functionality by integrating multiple capabilities into a single guidance module: path calculation, obstacle detection, intersection analysis, and turn signal integration. This universal approach allows the system to provide comprehensive safety guidance without requiring separate complex subsystems for each function.
Solution Approach 2:
The system implements feedback by continuously monitoring driver intent through turn signals and steering input, recalculating the turn path as the vehicle moves, and updating guidance information based on real-time sensor data. This closed-loop feedback ensures the guidance remains accurate and relevant throughout the turning maneuver.
Data Source
AI summary
Sensor data and data from V2V messages are used to detect obstacles. Additional obstacles are identified in map data according to a vehicle's position. In response to detecting a turn intent, a controller calculates a turn path according to the detected obstacles and properties of the vehicle. The turn path is presented to a user, such as by display on a HUD or superimposing the turn path on an image from a forward facing camera. A desired steering angle to traverse the turn path may be displayed, such as relative to the current steering angle of the vehicle. Notifications regarding the path and turning intent of other vehicle may be displayed along with the turn path.