Passive IR Pedestrian Detection for Autonomous Vehicles
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Solution Overview
Problem
Current autonomous vehicles face challenges in safely and efficiently detecting and responding to pedestrians and bikers, especially under adverse conditions, due to limitations in existing optically-based guidance systems and sensors, which often fail to identify human presence and react in time to prevent collisions.
Innovation Solution
A passive infra-red based pedestrian detection and avoidance system using forward-looking IR image sensors and an image processor, integrated with the vehicle's operational system via a CAN Bus, to detect human thermal signatures and trigger responsive actions such as steering or braking to avoid interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optically-based guidance systems and sensors are used to detect pedestrians and bikers, then the system can identify human presence, but the system fails to reliably detect and react in time under adverse conditions such as poor lighting or weather
Solution Approach 1:
The patent replaces optically-based detection systems with passive infra-red sensing technology. The passive IR sensors detect thermal radiation from human bodies, enabling reliable detection of pedestrians and bikers under adverse weather and lighting conditions where optical systems fail. This substitution of detection mechanism fundamentally resolves the reliability issue in challenging environments.
Solution Approach 2:
The system changes the detection parameter from optical reflection (visible light) to thermal radiation detection (infrared wavelengths). By detecting the thermal signature of humans in the infra-red spectrum rather than relying on visible light reflection, the system achieves consistent detection performance regardless of lighting conditions or weather, thereby improving reliability under adverse conditions.
2Measurement precision
If multiple sensors and systems are integrated to improve detection accuracy, then detection capability improves, but system complexity increases
Solution Approach 1:
The patent extracts and isolates the thermal detection function from the complex multi-sensor optical system. By using passive infra-red sensors that directly detect thermal radiation, the system eliminates the need for multiple complementary optical sensors and their associated processing systems, thereby reducing overall system complexity while maintaining or improving detection accuracy.
Solution Approach 2:
The passive infra-red sensor system performs multiple detection functions simultaneously - detecting presence, tracking movement, and providing early warning - all through a single detection mechanism. This multi-functionality reduces the need for separate specialized sensors and systems, thereby reducing complexity while maintaining high measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the ability of autonomous and driven vehicles to detect and respond to pedestrians and bikers in real-time, improving safety and efficiency under various conditions, including adverse weather and low light, by providing accurate thermal signature analysis and timely vehicle adjustments.
Implementation Method 1
passive infra-red based pedestrian detection and avoidance system using forward-looking IR image sensors... to detect human thermal signatures
Data Source
AI summary
A passive infra-red pedestrian and animal detection and avoidance system and method for augmenting the operation of a vehicle on a roadway, especially for identifying potential pedestrian/vehicular and/or animal/vehicular collision danger for the vehicle in operation and adjusting the position and operation of the vehicle accordingly, includes at least one passive infra-red sensor array mounted on the vehicle in operative communication with an image processor tied into the operational system of the vehicle. The system detects, using thermal imaging and processing, the presence of people or animals that may be in or laterally crossing into the travel lane of the vehicle. The image processor analyzes the detection of a human thermal signature and/or an animal thermal signature, and determines if the detected thermal signature is moving, in what direction and at what speed, to assess any potential threat to the pedestrian, biker or occupant of the vehicle, and further whether any responsive action needs to be triggered in the vehicle's operation to avoid a collision.