Camera-Assisted Blind-Spot Braking for Low-Speed Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Blind-spot Collision Avoidance (BCA) systems using RADAR may fail to detect objects moving at low speeds or stopped close to the vehicle, leading to non-operation or malfunction when the object deviates from the collision risk zone.
Innovation Solution
A control assistance device integrating a radar system and a camera system, where processors determine the real-time tracking information from both systems to control the vehicle's braking system, utilizing camera tracking information when radar tracking information is not available in real time to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If radar system is used for BCA detection, then detection range is extended, but detection of low-speed or stopped objects close to vehicle is insufficient
Solution Approach 1:
The patent combines radar system and camera system into an integrated BCA apparatus. The radar provides long-range detection while the camera supplements detection of low-speed or stopped objects close to the vehicle. The processor integrates tracking information from both systems to determine collision risk, resolving the contradiction between extended detection range and detection reliability.
2Speed
If radar tracking information is used alone, then real-time tracking is achieved, but malfunction occurs when object deviates from collision risk zone
Solution Approach 1:
The processor continuously receives tracking information from both radar and camera systems, compares it with collision risk zone parameters, and dynamically adjusts BCA operation. When an object deviates from the collision risk zone, the system uses feedback from the camera system to verify and adjust the tracking status, preventing false malfunction while maintaining real-time response capability.
3Reliability
If both radar and camera systems are integrated, then detection capability is enhanced, but device complexity increases
Solution Approach 1:
The processor is designed to handle multiple functions: receiving tracking information from radar, receiving tracking information from camera, determining collision risk, and controlling braking system. This multi-functional design integrates the radar and camera systems through a single processing unit, enhancing detection capability while managing system complexity through functional consolidation.
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 detection of surrounding objects, particularly those moving at low speeds or stopped, ensuring the BCA system operates effectively and prevents malfunctions by using camera tracking information to supplement radar data, thereby improving collision avoidance capabilities.
Implementation Method 1
The radar has a long but narrow detection range. When an object located close to the vehicle moves at low speed or stops, the radar mounted on the vehicle may not detect the surrounding object.
Implementation Method 2
a camera system, that includes one or more cameras, generates image information and camera tracking information tracking the position of the surrounding object relative to the vehicle based on the image information
Data Source
AI summary
Disclosed is a control assistance device that includes a radar system that detects surrounding objects, and generates radar tracking information tracking a position of the surrounding object relative to a vehicle, and a camera system, that includes cameras, and generates image information, and camera tracking information tracking the position of the surrounding object. The control assistance device also includes processors that determine whether the radar tracking information is generated in real time when the surrounding object approaches within a preset distance from the vehicle based on generated tracking information that includes the radar tracking information or the camera tracking information, determine whether the camera tracking information is generated in real time, when the radar tracking information is determined as generated in real time, and control a braking system of the vehicle based on the generated tracking information, when the camera tracking information is determined as generated in real time.