Motorcycle Adaptive Speed Control With Sensor-Based Collision Avoidance
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Solution Overview
Problem
Existing two-wheeled vehicles lack effective systems for automatically sensing and responding to the environment, providing feedback to riders, and maintaining safe distances from other vehicles, which can lead to increased risk in shared road scenarios.
Innovation Solution
Equipping motorcycles with sensors such as radar, lidar, and cameras to detect external objects, coupled with automatic cruise control and notification systems to alert riders and external operators, allowing for automatic speed and distance maintenance without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual control systems are used in two-wheeled vehicles, then the device complexity is low, but the safety and awareness in shared road scenarios deteriorates
Solution Approach 1:
The system segments the control functions into manual controls (throttle, brake) and automatic controls (cruise control, collision avoidance). Sensors are segmented into different types (radar, lidar, cameras) that operate independently but feed into a unified control system, allowing gradual integration of automation while maintaining manual override capability.
Solution Approach 2:
The controller acts as an intermediary between sensors and vehicle controls. It processes sensor data and automatically adjusts throttle, brake, or transmission controls without requiring direct manual input from the rider, enabling automatic speed maintenance and collision avoidance while preserving simple manual interfaces.
2Reliability
If automatic sensing and control systems are added to motorcycles, then the environmental awareness and collision avoidance improve, but the device complexity increases
Solution Approach 1:
The controller serves multiple functions: it manages cruise control, processes data from multiple sensor types (radar, lidar, cameras), and executes collision avoidance maneuvers. This multi-functionality consolidates complexity into a single control unit rather than requiring separate systems for each function.
Solution Approach 2:
The system enables the motorcycle to sense and respond to its environment automatically without continuous manual input. The cruise control maintains speed autonomously, and the collision avoidance system executes protective maneuvers based on sensor data, allowing the vehicle to serve itself in critical safety functions.
3Measurement precision
If multiple sensors are integrated for environmental detection, then the measurement precision and awareness improve, but the device complexity and cost increase
Solution Approach 1:
Multiple sensor types (radar, lidar, cameras) are merged into a unified sensing system that feeds data to a single controller. This consolidation allows the system to leverage the strengths of each sensor type while managing complexity through integrated processing rather than separate control systems for each sensor.
Solution Approach 2:
The system continuously monitors the environment through multiple sensors and provides feedback to the controller, which adjusts vehicle controls in real-time. This closed-loop feedback mechanism enables precise environmental awareness and automatic response without requiring complex manual intervention systems.
4Ease of operation
If automatic cruise control is implemented, then the ease of operation improves, but the extent of automation increases system complexity
Solution Approach 1:
The cruise control system enables the motorcycle to maintain its own speed autonomously based on sensor input and rider preferences, reducing the need for continuous manual throttle adjustment. This self-service capability simplifies operation while implementing a manageable level of automation.
Solution Approach 2:
The cruise control system dynamically adjusts speed based on real-time environmental conditions detected by sensors, such as obstacles or traffic conditions. This dynamic response provides ease of operation by automatically adapting to changing conditions without requiring full autonomous control.
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 safety and awareness by providing real-time environmental awareness and enabling automatic control, reducing the risk of collisions and improving maneuverability in shared road conditions.
Implementation Method 1
various ranging assemblies such as radar assemblies, laser ranging (lidar) assemblies
Implementation Method 2
various ranging assemblies such as radar assemblies, laser ranging (lidar) assemblies
Data Source
AI summary
Disclosed is a vehicle. The vehicle generally includes a frame to support an engine and one or more supports, such as wheels, to support the frame. The engine may include an internal combustion power plant and a fuel supply system therefore.