Cooperative Driver Assistance for Lower-Level Autonomous Vehicles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies fail to effectively supplement lower autonomous driving level vehicles in critical situations, lacking support for vehicles with limited autonomous capabilities.
Innovation Solution
A driver assist apparatus equipped with a camera, radar, and processor to identify the autonomous driving level of nearby vehicles, providing assistance through image and communication data processing, and controlling the vehicle's systems to adjust its driving level or project virtual lane lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a vehicle operates with a lower autonomous driving level, then device complexity is reduced, but reliability deteriorates in critical situations
Solution Approach 1:
The host vehicle acts as an intermediary assistance provider for nearby vehicles with lower autonomous driving levels. The communication part enables information exchange between vehicles, allowing the host vehicle to detect and assist nearby vehicles in critical situations through shared sensory data and coordinated control actions.
Solution Approach 2:
The driver assist apparatus is designed with multi-functionality to serve both the host vehicle's own navigation needs and to provide assistance to nearby vehicles. The processor analyzes data from multiple sources (camera, radar, communication) to perform dual functions: autonomous navigation and cooperative assistance to other vehicles.
2Reliability
If the host vehicle increases autonomous driving level to assist nearby vehicles, then reliability of assistance is improved, but device complexity increases
Solution Approach 1:
The system utilizes the host vehicle's own existing sensory capabilities (camera, radar) and processing power to provide assistance to nearby vehicles. Rather than requiring separate dedicated assistance systems, the vehicle's autonomous driving infrastructure is leveraged to perform cooperative functions, reducing overall system complexity while maintaining reliability.
3Ease of operation
If the vehicle projects virtual lane lines to guide nearby vehicles, then ease of operation for nearby vehicles is improved, but loss of information increases due to communication requirements
Solution Approach 1:
The host vehicle creates a visual copy of lane information by projecting virtual lane lines onto the road surface using the projection unit. This visual copy provides guidance to nearby vehicle drivers without requiring them to receive or process complex communication data, converting information into a direct visual representation that improves ease of operation while minimizing information loss.
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 the safety and maneuverability of lower autonomous driving level vehicles by adjusting their driving levels and guiding them through virtual lane lines, especially in situations where they need assistance due to lower recognition capabilities or accidents.
Implementation Method 1
a camera installed on a vehicle, having a field of view outside the vehicle, and including at least one image sensor configured to obtain image data
Implementation Method 2
a radar installed on the vehicle, having a sensing area outside the vehicle, and including at least one antenna configured to receive a reflection radar signal that is a reflected signal of a transmission signal
Data Source
AI summary
In an assist apparatus for travel of a vehicle, the assist apparatus may include a camera installed on a vehicle, having a field outside view of the vehicle, and configured to obtain image data, a radar installed on the vehicle, having a sensing area outside the vehicle, and configured to obtain radar data, a communication part configured to transmit and receive communication data to and from a nearby vehicle or external server, and a processor configured process at least one piece of data of the image data, the radar data, and the communication data, wherein the processor recognizes an autonomous driving level of the nearby vehicle on the basis of processing the data and can monitor whether the nearby vehicle needs assistance in response to the autonomous driving level recognized as a lower level than the vehicle.