Autonomous Driving Control System Using Camera and Lidar
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Solution Overview
Problem
Current autonomous driver assistance systems face high installation costs and integration difficulties due to the need for expensive radar detection equipment and limitations in recognizing lane markings and predicting collision scenarios, especially in adverse weather conditions.
Innovation Solution
An autonomous driver assistance system integrating an autonomous driving control device, road detection device, telemetic device, and vehicle safety integration device, which uses cameras and 2D Lidar for road image acquisition and vehicle positioning, allowing the system to follow lane markings or lead vehicles in adverse conditions without expensive radar equipment, and includes a telemetic device for route planning and driver condition monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D radar and GPS maps are used for autonomous driving, then obstacle detection accuracy is improved, but installation cost increases significantly
Solution Approach 1:
The patent combines multiple functions (autonomous driving control, road detection, telematics, and vehicle safety integration) into a single integrated system. This merging approach allows the system to achieve comprehensive autonomous driving capabilities using existing, more affordable components rather than requiring expensive specialized equipment like 3D radar for each function.
Solution Approach 2:
The autonomous driving control device serves multiple purposes: it controls vehicle traveling conditions, detects road conditions, plans routes, and monitors driver status. This multi-functionality reduces the need for separate specialized equipment, thereby lowering overall installation costs while maintaining detection accuracy through intelligent software processing.
2Ease of operation
If LDWS is used for lane detection, then lane departure warning is achieved, but functionality is lost in adverse weather conditions
Solution Approach 1:
The patent introduces an autonomous driving control device that acts as an intermediary between the road detection device and the driver. This control device processes road detection data more advancedly, enabling the system to distinguish between actual lane markings and visual noise in adverse conditions, thereby maintaining reliability when traditional LDWS fails.
Solution Approach 2:
The patent replaces the purely optical detection mechanism of traditional LDWS with an integrated system that combines road detection, autonomous driving control, and telematics. This substitution enables more sophisticated image processing and environmental adaptation, allowing reliable lane detection even when markings are not clearly visible due to weather conditions.
3Reliability
If FCWS is used for collision warning, then emergency braking is achieved, but collision location prediction capability is limited
Solution Approach 1:
The autonomous driving control device performs preliminary route planning and road condition recognition before actual driving occurs. By pre-processing road information and predicting potential hazards ahead of time, the system can anticipate collision locations and prepare appropriate responses, rather than merely reacting to imminent threats.
Solution Approach 2:
The integrated system continuously monitors road conditions, vehicle position, and detected obstacles, providing real-time feedback to the autonomous driving control device. This feedback loop enables the system to dynamically adjust its prediction of collision locations and update its response strategy, maintaining accurate collision location prediction throughout the driving process.
4Adaptability or versatility
If multiple separate systems are integrated for autonomous driving, then functionality is improved, but integration difficulty increases
Solution Approach 1:
The patent merges autonomous driving control, road detection, telematics, and vehicle safety integration into a unified system architecture. This merging eliminates the need for complex interfaces and communication protocols between separate systems, reducing integration difficulty while preserving all necessary autonomous driving functionalities.
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 enables cost-effective autonomous driving by eliminating the need for expensive radar systems, improving driving safety by recognizing lane markings and predicting collision scenarios, and ensuring efficient route-following capabilities even in adverse conditions, while also monitoring driver conditions for emergency interventions.
Implementation Method 1
The road detection device is connected to the autonomous driving control device for acquiring a roadway image in front of the vehicle and detecting a distance to a vehicle ahead and a signal of direction indicators of the vehicle ahead
Implementation Method 2
The telemetic device is connected to the autonomous driving control device for transmitting radio signals out or receiving external radio signals, planning a driving route of the vehicle and positioning the vehicle
Data Source
AI summary
An autonomous driver assistance system is integrated with a vehicular control system to constantly detect ambient road environment of the vehicle, identify a vehicle ahead with same driving route to a destination, and follow the vehicle ahead by autonomous driving to the destination. Signals of direction indicators of the vehicle ahead can be recognized to determine a driving direction and driving state of the vehicle ahead beforehand, thereby reducing the chances of emergency brake and collision and increasing driving efficiency. Without expensive radar detection equipment, the present invention can be easily integrated with a vehicular control system to tackle the high installation cost and integration difficulty of conventional autonomous driver assistance apparatuses.