Autonomous Lane Control System Using Sensor Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle control systems are unable to provide fully autonomous control for normal driving on dynamic roadways due to difficulties in anticipating roadway curvature, lane availability, merging lane locations, and sensing the speed and location of surrounding vehicles, limiting their ability to maintain lane position and change lanes safely.
Innovation Solution
An autonomous lane control system that uses GPS, visual sensors, and speed sensors to continuously assess the vehicle's position and surroundings, allowing the vehicle to automatically control speed and steering to stay in a lane or change lanes, with the driver able to override control through the brake or steering wheel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If fully autonomous vehicle control system is implemented, then vehicle can automatically control steering, acceleration and braking, but system complexity and difficulty of programming increase significantly
Solution Approach 1:
The autonomous control system is divided into separate functional modules: lane detection module, path planning module, and vehicle control module. Each module handles specific tasks independently, making the overall system more manageable and easier to program while achieving full autonomous control capability
Solution Approach 2:
The system pre-processes roadway data and identifies potential hazards, lane changes, and curvature changes in advance. By performing preliminary analysis of the driving environment, the system reduces the complexity of real-time decision-making and control algorithms
2Extent of automation
If fully autonomous vehicle control system is implemented, then vehicle can operate without driver intervention, but ability to anticipate upcoming roadway conditions and process data quickly is limited
Solution Approach 1:
The system continuously scans and pre-processes roadway information, identifying potential lane changes, curvature changes, and hazards before they become critical issues. This preliminary detection and analysis enables the autonomous system to anticipate upcoming conditions and prepare appropriate responses
Solution Approach 2:
The system implements continuous feedback loops where sensor data from the roadway is constantly monitored, analyzed, and used to adjust vehicle control actions. This real-time feedback mechanism enables the system to quickly adapt to changing road conditions and maintain safe autonomous operation
3Extent of automation
If autonomous lane control system is used, then lane changing and lane maintaining operations are automated, but driver ability to override control is reduced
Solution Approach 1:
Instead of requiring the driver to initiate override actions, the system is designed so that any driver input (steering wheel movement, brake application) automatically overrides the autonomous lane control. This inversion of the control hierarchy maintains full driver authority while preserving automation benefits during normal operation
Data Source
AI summary
An autonomous control system for a vehicle that controls the speed and steering system of the vehicle to operate in a lane-keeping mode or a lane-changing mode. Position sensors sense the location of surrounding vehicles. A lane determining system identifies a current lane where the vehicle is located. A source of oncoming lane course data provides information as to the course of the current lane. A controller provides instructions to the steering system and speed control system to maneuver the vehicle in either the lane-keeping mode or the lane-changing mode. The driver may override the control system by providing a manual input to the steering system or the speed control system.