Driving Assistance Using V2X to Identify Manually Driven Vehicles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles struggle to accurately distinguish manually driven vehicles from surrounding vehicles, especially in adverse weather conditions or at night, leading to potential disturbances in the travel of manually driven vehicles due to improper inter-vehicle distance maintenance and sudden braking.
Innovation Solution
A driving assistance apparatus utilizing V2X communication to detect the presence of manually driven vehicles by analyzing relative distances and vehicle communication capabilities, adjusting speed and inter-vehicle distances to avoid disturbing manually driven vehicles, and sharing travel plans with surrounding vehicles to facilitate safe platooning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous vehicle maintains constant inter-vehicle distance using camera sensing, then autonomous vehicle can detect surrounding vehicles, but it disturbs travel of manually driven vehicle and causes sudden braking
Solution Approach 1:
The patent introduces V2X communication as an intermediary mechanism between autonomous vehicles and manually driven vehicles. By detecting communication functions and exchanging information through this intermediary channel, the system can identify manually driven vehicles and adjust behavior accordingly, resolving the conflict between maintaining constant distance and avoiding disturbance to manual drivers
Solution Approach 2:
The system dynamically adjusts the inter-vehicle distance based on the detected communication function status of surrounding vehicles. When a manually driven vehicle is detected (no communication function), the autonomous vehicle dynamically increases the following distance to avoid disturbance, while maintaining the standard constant distance when only autonomous vehicles are present
2Measurement precision
If autonomous vehicle uses camera sensing to detect surrounding vehicles, then it can identify vehicles in normal conditions, but it fails to accurately recognize manually driven vehicle in bad weather or at night
Solution Approach 1:
V2X communication serves as an intermediary that bypasses the limitations of optical sensing. By using communication signals rather than visual detection, the system can reliably identify vehicles regardless of weather conditions or lighting, eliminating the harmful effects of environmental factors on detection accuracy
Solution Approach 2:
The patent replaces the mechanical/optical camera-based detection system with an electromagnetic communication-based detection system. This substitution allows vehicle identification to function independently of visual conditions, resolving the problem of inaccurate recognition in adverse environments
Data Source
AI summary
A driving assistance apparatus includes: a communication function detection unit that detects whether or not a surrounding vehicle is equipped with a communication function; a surrounding vehicle information acquisition unit that acquires a relative distance between the host vehicle and a surrounding vehicle equipped with the communication function on the basis of information acquired from the surrounding vehicle equipped with the communication function; and a manually driven vehicle estimation unit that estimates whether or not a manually driven vehicle is present around the host vehicle.