Automatic Incident Detection System for Road Safety
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Solution Overview
Problem
Current vehicle systems lack an efficient method for automatically detecting and reporting external incidents such as accidents, immobilized vehicles, and road hazards to other vehicles and emergency services in real-time, relying on manual reporting or limited sensor data.
Innovation Solution
An automatic incident detection and reporting system equipped with cameras, proximity sensors, an incident determination unit, and a communication unit that uses facial recognition, machine learning, and crowd-sourcing to detect and transmit incident data to remote vehicles and emergency services, including vehicle position determination and driver alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual reporting methods are used for external incidents, then system complexity is reduced, but response time and reporting efficiency deteriorate
Solution Approach 1:
The system divides incident detection and reporting into separate functional modules: sensor units for data collection, incident determination unit for analysis, and communication unit for reporting. This segmentation enables automated high-speed reporting while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system performs preliminary detection and classification of incidents automatically before human intervention is needed. Sensors continuously monitor the environment and the incident determination unit pre-processes data to identify potential incidents, enabling immediate automated reporting without waiting for manual observation.
2Measurement precision
If automated incident detection with multiple sensors is implemented, then detection accuracy and response time improve, but device complexity increases
Solution Approach 1:
The system merges multiple sensor types (cameras, proximity sensors, radar, LIDAR) into an integrated sensing network that shares data through a common communication bus. This combining approach maintains high detection accuracy through multi-sensor fusion while reducing overall system complexity by using shared processing and communication infrastructure.
Solution Approach 2:
The incident determination unit serves multiple functions: it processes data from various sensor types, performs incident detection, classifies incident types, and determines severity levels. This multi-functionality reduces the need for separate dedicated systems for each task, thereby maintaining detection accuracy while managing system complexity.
3Reliability
If real-time incident reporting to multiple recipients is implemented, then safety and response efficiency improve, but communication resource consumption increases
Solution Approach 1:
The communication unit dynamically adjusts reporting behavior based on incident severity and recipient availability. For minor incidents, reporting is delayed or sent to fewer recipients. For severe incidents, immediate reporting to multiple recipients is activated. This dynamic approach ensures reliable reporting of critical incidents while minimizing unnecessary communication energy consumption.
Solution Approach 2:
The system implements feedback mechanisms where recipients acknowledge receipt of incident reports. The communication unit monitors these acknowledgments and adjusts subsequent reporting based on whether the information has been received and processed. This feedback loop ensures reliable delivery of critical information while avoiding redundant transmissions that would waste energy.
Data Source
AI summary
An automatic external incident detection and reporting system for a vehicle includes at least one of a plurality of cameras and a plurality of proximity sensors, an incident determination unit, a remote vehicle or object position determination unit, and a communication unit. The incident determination unit is configured to receive signals from the at least one of the cameras and proximity sensors, detect whether an external incident has occurred, and determine a type of incident. The remote vehicle or object position determination unit is configured to receive signals from the at least one of the cameras and proximity sensors and determine an incident location. The communication unit is configured to transmit at least the incident location and the type of incident to remote vehicles, to a local access point, or to share the incident location and the type of incident through a crowd-sourcing manner if the external incident has occurred.