V2X Collision Warning for Reversing Vehicles and Fast-Moving Pedestrians
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Solution Overview
Problem
Current V2X-based pedestrian collision warning systems lack unified algorithms and standards for determining warning levels and relative positions, particularly failing to account for scenarios involving vehicles reversing or low-speed collisions with pedestrians moving faster than normal, leading to inadequate risk identification and threat assessment for drivers.
Innovation Solution
A collision warning method utilizing a V2X system to calculate relative lateral distances and speeds of vulnerable traffic participants, determining warning scenarios, and issuing different warning levels based on calculated warning distances, which includes specific formulas for various warning scenarios to enhance risk identification and threat assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2X-based pedestrian collision warning systems use standard algorithms, then the system can provide basic collision warning functionality, but the system lacks the ability to accurately determine warning levels and relative positions for special scenarios such as reversing vehicles or pedestrians moving faster than normal walking speed
Solution Approach 1:
The system dynamically adjusts warning level determination based on detected scenarios. Different warning level determination methods are applied depending on whether the scenario is normal pedestrian crossing, reversing vehicle, or pedestrian moving faster than normal walking speed, allowing the system to adapt to varying conditions while maintaining high accuracy
Solution Approach 2:
The system changes key parameters such as warning level thresholds and relative position determination criteria based on the detected scenario. For example, different warning level thresholds are used for reversing vehicles compared to normal scenarios, and different relative position determination methods are applied for pedestrians moving at different speeds
2Loss of information
If the system provides detailed warning levels and threat assessments for all scenarios, then drivers can better identify risk sources, but the system complexity increases due to multiple determination methods and algorithms
Solution Approach 1:
The system segments the collision warning function into multiple independent determination methods, each handling specific scenarios. This includes separate methods for normal pedestrian crossing, reversing vehicles, and pedestrians moving faster than normal walking speed, allowing comprehensive risk identification while keeping each algorithm module relatively simple and manageable
3Reliability
If the system covers all possible collision scenarios including reversing vehicles and low-speed collisions, then the system provides comprehensive protection, but the warning reporting mechanism and scenario coverage standards become more complex and difficult to unify
Solution Approach 1:
The system implements a unified warning reporting mechanism that can handle multiple scenario types through a common interface and standardization framework. The same basic determination framework is used across all scenarios, with scenario-specific parameters and thresholds applied within that universal structure, making the system both comprehensive and standardized
Data Source
AI summary
A collision warning method in relation to vulnerable road users (VRUs), applied in a host vehicle when being driven, obtains a relative lateral distance between a vehicle and a VRU and obtains speed of movement of the VRU in addition to speed and direction of the host vehicle. A warning scenario is determined according to the relative lateral distance and the VRU speed. A warning distance according to the warning scenario and the relative speed is calculated, a relative distance between the host vehicle and the VRU is obtained, and the issue of a corresponding level of a collision warning is determined according to a comparison between the warning distance and the relative distance.