Autonomous Driving Corridor Control Using Roadside and Vehicle Sensors
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Solution Overview
Problem
Autonomous driving systems face challenges in establishing a safe travelling corridor during anomalous situations, such as lane turns or dim environments, due to sensor limitations like blind spots and inaccurate readings from image sensors and radars.
Innovation Solution
Deploying sensors at specific locations like tunnels with dedicated lighting and radars to provide static lane and environment information, combined with vehicle-mounted sensors for dynamic information, to establish a reliable travelling corridor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image sensors and radars are used for autonomous driving detection, then real-time visual information and environment scanning are obtained, but blind spots appear at lane turns and recognition accuracy deteriorates in dim environments
Solution Approach 1:
Roadside sensors are introduced as intermediary detection devices to supplement vehicle-mounted sensors. These roadside sensors detect lane information and transmit it to vehicles, serving as a mediator that overcomes the limitations of vehicle-mounted sensors in blind spots and dim environments, thereby improving both reliability and measurement precision of lane information detection
Solution Approach 2:
The system combines multiple detection approaches (vehicle-mounted image sensors, radars, and roadside sensors) into a universal detection framework. This multi-functional system can operate effectively across different scenarios including normal driving, lane turns, and dim environments, ensuring consistent travelling corridor establishment reliability regardless of environmental conditions
2Reliability
If vehicle-mounted sensors alone are used for detection, then the system structure remains simple, but detection coverage is insufficient at blind spots and in challenging environments
Solution Approach 1:
Roadside sensors act as external intermediaries that extend the detection capability without requiring complex modifications to the vehicle-mounted system. The roadside infrastructure provides additional detection coverage while maintaining relative system simplicity through centralized sensor deployment
Solution Approach 2:
The system transitions from solely vehicle-mounted (mobile) detection to include roadside (fixed) detection, adding a spatial dimension to the sensor network. This dimensional expansion improves detection reliability by providing multiple observation points without proportionally increasing vehicle-mounted system complexity
Data Source
AI summary
A method for implementing autonomous driving and a vehicle-mounted control system includes: obtaining a first signal from at least one first sensor fixedly arranged at a specific location, where the first signal indicates static travelling information related to a lane; obtaining, from a vehicle-mounted sensor, a second signal indicating dynamic travelling information related to a vehicle travelling road; and establishing a travelling route corridor on the basis of at least one of the first signal and the second signal.