Intersection Video Analytics for Red-Light Collision Intervention
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Solution Overview
Problem
Conventional traffic control signals rely on driver volition and visual indications, which can lead to unsafe situations when drivers disregard red lights, as they do not actively intervene to prevent collisions, especially at intersections with multiple ingress points.
Innovation Solution
Implementing video analytics and autonomous driving capabilities in vehicles to identify approaching vehicles and intervene with warnings and braking if necessary, collaborating with traffic control logic to ensure safe passage by computing distance and speed from the intersection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passive visual traffic signals are used, then drivers have freedom of volition, but safety deteriorates when drivers disregard red lights
Solution Approach 1:
The patent introduces an intermediary autonomous vehicle system that mediates between the passive traffic signal and the driver. The system includes a signal reception module that receives traffic signal information, a distance calculation module that computes distance to the intersection, and a control module that autonomously controls vehicle deceleration or stopping when the signal is red and distance is within a safe threshold, thereby ensuring safety without requiring driver volition.
2Reliability
If autonomous intervention is added to traffic control, then safety improves, but system complexity increases
Solution Approach 1:
The patent merges the traffic signal reception, distance calculation, and vehicle control functions into an integrated autonomous control system. The signal reception module receives traffic signal information, the distance calculation module computes distance to the intersection using sensor data, and the control module synthesizes this information to autonomously control vehicle deceleration or stopping, thereby achieving safety improvements through a unified system rather than separate complex components.
3Reliability
If video analytics are used to identify approaching vehicles, then collision avoidance improves, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by continuously receiving and processing traffic signal information and vehicle sensor data before a collision threat materializes. The system continuously calculates distance to the intersection and monitors vehicle speed, enabling proactive autonomous deceleration or stopping decisions before the vehicle reaches the intersection, thereby ensuring collision avoidance while minimizing processing time through continuous real-time monitoring.
Data Source
AI summary
A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.