Autonomous Vehicle Narrow Road Passage Controller
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating narrow roads, particularly for novice drivers, as existing technologies rely on driver judgment and lack reliable sensor integration to assess passage feasibility and driver intent.
Innovation Solution
An apparatus and method for controlling autonomous vehicles that utilize a combination of sensors (lidar, radar, infrared, ultrasonic, and cameras) to assess road width and obstacle presence, allowing drivers to select autonomous driving, with a controller determining passage feasibility and adjusting based on driver input to prevent accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a driver relies on personal judgment to determine whether to pass through a narrow road, then the driver can make quick decisions, but novice drivers may lack the experience to accurately assess passage feasibility, leading to traffic congestion or accidents
Solution Approach 1:
The system enables the vehicle to autonomously assess passage feasibility by integrating sensor data processing and analysis functions directly into the vehicle's control system, eliminating the need for external assessment services or manual measurement tools
Solution Approach 2:
The control system integrates multiple sensor types (ultrasonic, infrared, cameras) into a single multi-functional platform that performs various functions including obstacle detection, road width measurement, and passage feasibility determination, reducing the need for separate specialized devices
2Measurement precision
If the vehicle width is increased to improve passage detection accuracy, then the sensor coverage area increases, but the vehicle becomes less maneuverable on narrow roads
Solution Approach 1:
The system uses ultrasonic waves and infrared radiation as intermediary carriers to extend the sensing capability beyond the physical dimensions of the vehicle, allowing accurate measurement of road width and obstacle positions without requiring physical contact or proximity to the measured objects
3Ease of operation
If autonomous driving function is activated on narrow roads, then novice drivers can benefit from automated navigation, but the system may encounter unpredictable situations requiring human judgment
Solution Approach 1:
The system continuously monitors sensor data and driving conditions, providing real-time feedback to the control algorithm that adjusts the autonomous driving behavior dynamically, allowing the system to adapt to changing situations including unpredictable obstacles or road conditions
Solution Approach 2:
The autonomous driving system implements dynamic control strategies that can switch between different operating modes or adjustment levels based on the assessed situation, enabling flexible response to both routine narrow road passages and unpredictable events
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 by preventing contact accidents and improving reliability for novice drivers by integrating driver intent into sensor data analysis, enabling safe autonomous navigation on narrow roads.
Implementation Method 1
a non-image sensor including a light detection and ranging (lidar) sensor
Implementation Method 2
a radio detection and ranging (radar) sensor
Implementation Method 3
an infrared sensor
Implementation Method 4
an ultrasonic sensor
Data Source
AI summary
The present disclosure relates to an apparatus and method for controlling an autonomous vehicle to allow an autonomous vehicle to safely pass through a road according to a driver's choice when the width of the road is narrow. The apparatus includes a sensor for acquiring information data of obstacles and vehicles in front of and on a side of a host vehicle, a signal processor for outputting data with respect to positions and media of obstacles and a determination signal representing presence or absence of a vehicle on a driving path, a controller for determining whether driving is possible by analyzing information acquired by the sensor and outputting a control signal corresponding to a selection signal of the driver, an interface for displaying an image processed by the signal processor, and an autonomous driving function unit for performing autonomous driving according to the control signal.