Intersection Turn Control Using ETA and Pedestrian Detection
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Solution Overview
Problem
Existing vehicle collision avoidance systems struggle to accurately determine the safety of maneuvering a vehicle into the path of an approaching vehicle, often due to driver misjudgment of speed and trajectory.
Innovation Solution
A collision avoidance system utilizing vehicle-to-vehicle (V2V) communications and vehicle-to-infrastructure (V2I) communications to determine the estimated time to arrival of an approaching vehicle and assess the safety of the maneuver, providing alerts to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driver manually judges speed and trajectory of approaching vehicles, then driver maintains full control of vehicle, but accuracy of collision risk assessment deteriorates due to human error
Solution Approach 1:
The patent introduces V2V communication technology as an intermediary between vehicles to automatically exchange and process trajectory and speed information. This mediator system calculates collision risks objectively without human intervention, resolving the contradiction by providing precise measurements through automated communication protocols while maintaining relatively simple system architecture based on existing vehicle networks.
2Measurement precision
If V2V communication system is implemented to automatically assess collision risk, then measurement precision of collision risk improves, but device complexity increases due to additional communication hardware and processing requirements
Solution Approach 1:
The patent applies V2V communication technology that serves multiple functions: it exchanges trajectory information, speed data, and collision risk assessments between vehicles. This multi-functional approach reduces overall system complexity by using a single communication infrastructure for various safety-related purposes, rather than implementing separate dedicated systems for each function.
Solution Approach 2:
The system enables vehicles to autonomously calculate and assess collision risks using exchanged communication data without requiring complex centralized processing. Each vehicle independently performs risk assessment based on received information, simplifying the overall system architecture by distributing computational tasks to individual vehicles rather than requiring sophisticated central coordination.
3Ease of operation
If system provides detailed safety assessments and alerts to driver, then driver decision-making quality improves, but information processing requirements and system complexity increase
Solution Approach 1:
The patent extracts and presents only the most critical collision risk information to the driver, separating essential safety data from unnecessary details. This selective information extraction improves driver decision-making by highlighting key risks while avoiding information overload, and reduces processing complexity by focusing computational resources on calculating and communicating only the most relevant parameters.
Data Source
AI summary
A vehicular control system includes a camera, a radar sensor and a processor operable to process image data captured by the camera and radar data captured by the radar sensor. The system determines that it is not safe to proceed with an intended turn at an intersection responsive to determination that the intended turn at the intersection will not be completed before an estimated time to arrival of an approaching vehicle at the intersection elapses and/or determination that a pedestrian is present at the intersection where the equipped vehicle will turn. The system determines that it is safe to proceed with the intended turn at the intersection responsive at least in part to determination that the intended turn at the intersection will be completed before the estimated time to arrival elapses and determination that no pedestrian is present at the intersection where the equipped vehicle will turn.