Adaptive Motorcycle Speed Control for Collision Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current two-wheeled vehicles lack advanced systems for automatic collision avoidance and adaptive cruise control, relying heavily on rider input and visibility, which can lead to increased risk in shared road environments with other vehicles.
Innovation Solution
Integration of sensors such as radar, lidar, and cameras to provide real-time environmental data for automatic control of throttle and brake systems, enabling adaptive cruise control and collision avoidance features like automatic distance maintenance and notification systems for both the rider and external vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual rider input and visibility are used for vehicle control, then the device complexity is reduced, but the reliability of collision avoidance and distance maintenance deteriorates
Solution Approach 1:
The patent replaces manual mechanical control with automated sensor-based control systems. Radar, lidar, and camera sensors detect surrounding vehicles and calculate distances, automatically controlling throttle and brake systems to maintain safe following distances without requiring manual rider input for distance maintenance.
Solution Approach 2:
The vehicle system performs self-monitoring and self-adjustment of speed and distance through integrated sensors and control units. The adaptive cruise control system automatically adjusts vehicle operation based on detected environmental conditions, enabling the vehicle to serve its own safety needs without constant human intervention.
2Reliability
If automated sensor systems are integrated for real-time environmental monitoring, then the reliability of distance maintenance is improved, but the device complexity increases
Solution Approach 1:
The control system integrates multiple sensor types (radar, lidar, cameras) into a unified adaptive cruise control platform that performs multiple functions: detecting vehicles, calculating distances, determining relative speeds, and automatically controlling throttle and brake systems. This multi-functional approach consolidates what could be separate systems into one integrated solution.
Solution Approach 2:
The patent combines radar, lidar, and camera systems into a single integrated sensing and control architecture. The control unit processes data from all sensor types together to make unified decisions about throttle and brake control, merging multiple detection methods into one coordinated system rather than operating them as separate independent systems.
3Reliability
If rider reliance on visibility and manual input is reduced, then the safety in shared road environments is improved, but the ease of operation deteriorates
Solution Approach 1:
The system continuously monitors surrounding vehicles through sensors and provides real-time feedback to the rider via notifications about detected vehicles and calculated distances. This feedback loop allows the automated system to operate safely while keeping the rider informed, maintaining ease of operation through automatic control while improving safety through continuous environmental awareness.
Data Source
AI summary
Disclosed is a vehicle that may include a frame to support a power system, such as an engine, and one or more surface supports, such as wheels, to support the frame. The engine may include an internal combustion engine and a fuel supply system therefore. The engine may provide power to drive the wheels.