Bicycle Emergency Braking Using Bank-Angle Hazard Detection
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Solution Overview
Problem
Current emergency braking systems for bicycles are not effectively developed, as they face challenges in distinguishing between actual hazards and false positives due to the dynamic nature of bicycle motion, leading to impractical and costly solutions for retrofitting commercially available bicycles.
Innovation Solution
An automated emergency braking system utilizing ultrasonic sensors, a gyroscope, and a microprocessor to detect potential collisions, differentiate between frontal and side collisions, and apply controlled braking, considering the bicycle's bank angle to avoid false triggers and ensure safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex risk assessment systems are implemented to detect hazards accurately, then collision detection reliability is improved, but false braking events increase due to bicycle's dynamic motion and leaning
Solution Approach 1:
The hazard detection system is segmented into multiple independent sensor units (ultrasonic sensors positioned at front, rear, left, and right sides) that independently monitor different zones. This segmentation allows the system to process spatial information from multiple perspectives, improving collision detection reliability while reducing false positives through cross-validation of sensor data.
Solution Approach 2:
The system dynamically adjusts its detection and response behavior based on the bicycle's motion state. By continuously monitoring bank angle via gyroscope and adjusting hazard detection thresholds based on current speed and turning status, the system maintains high reliability while adapting to dynamic conditions that would otherwise trigger false braking events.
2Measurement precision
If automotive-grade autonomous braking systems with cameras, radar, and LiDAR are used, then hazard detection accuracy is improved, but system cost and complexity increase significantly
Solution Approach 1:
The system replaces expensive automotive-grade sensors (cameras, radar, LiDAR) with inexpensive ultrasonic sensors that are already widely used in bicycle helmets and other consumer products. This substitution maintains adequate hazard detection accuracy for bicycle speeds while dramatically reducing system cost and complexity, making the solution practical for bicycle applications.
Solution Approach 2:
The system substitutes optical and electromagnetic sensing systems (cameras, radar, LiDAR) with acoustic sensing (ultrasonic sensors). This mechanical/acoustic approach is better suited to bicycle speed ranges and environmental conditions, achieving comparable detection accuracy with simpler, more robust hardware that requires less processing power and has fewer failure modes.
3Reliability
If side sensors are activated continuously to detect broadside collisions, then side collision detection is improved, but false positives increase when bicycle is leaning during turns
Solution Approach 1:
The system dynamically controls side sensor activation based on real-time bank angle measurements from the gyroscope. When the bicycle is upright (bank angle near zero), side sensors are activated to detect broadside collisions. When the bicycle is leaning beyond a threshold angle during turns, side sensor data is suppressed or ignored. This dynamic activation strategy maintains reliable side collision detection while eliminating false positives during normal turning operations.
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
The system provides a cost-effective, reliable emergency braking solution for bicycles by accurately detecting hazards and applying appropriate braking forces, reducing the risk of accidents while minimizing false braking events.
Implementation Method 1
a sensor array comprising a front ultrasonic sensor to sense a distance to an object in front of the bicycle; a left side ultrasonic sensor to sense a distance to an object to the left of the bicycle; and a right side ultrasonic sensor to sense a distance to an object to the right of the bicycle
Implementation Method 2
a gyroscope to sense a bank angle of the bicycle
Implementation Method 3
an accelerometer to sense an acceleration of the bicycle
Data Source
AI summary
According some aspects, an automated bicycle emergency braking system may be retrofitted to a commercial pedestrian bicycle to provide emergency braking functionality. Aspects described therein detail a light-weight and consumer affordable automated bicycle emergency braking system for improving pedestrian bicycle safety. Aspects described therein relate to sensing of a bicycle's surroundings for potentially hazardous objects, identifying a potentially hazardous road condition, determining whether to engage a bicycle's mechanical braking system, determining how long to engage a bicycle's mechanical braking system, and disengaging a bicycle's mechanical braking system until determining confirmation of resolution of the pedestrian bicyclist's safety regarding the identified potentially hazardous road condition.


