LiDAR-Guided Camera View Control for Vehicle Blind Spots
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Solution Overview
Problem
Existing side mirrors in vehicles have fixed angles, leading to blind spots that hinder proper recognition of the vehicle's surroundings, increasing the risk of accidents, especially when turning corners.
Innovation Solution
A vehicle control device utilizing a LiDAR sensor to generate data for environment sensing, an AVN unit to trigger event signals, and a processor to control camera angles, providing blind spot images through internal displays or the AVN unit, adjusting camera views based on LiDAR data and event signals to mitigate blind spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed angle side mirror is used, then the device complexity is reduced, but blind spots occur and the recognition of vehicle surroundings is limited
Solution Approach 1:
The patent replaces the mechanical side mirror system with an electronic camera-LiDAR-display system. Instead of using a physical mirror with fixed angles, the invention uses cameras mounted at various positions on the vehicle to capture images of blind spot areas, processes these images through a processor, and displays them on screens inside the vehicle or on augmented reality mirrors. This substitution eliminates the need for complex adjustable mechanical mirror structures while providing comprehensive surrounding environment information.
Solution Approach 2:
The patent makes the camera system serve multiple functions: capturing blind spot images, providing 360-degree vehicle surround information, integrating with LiDAR data for enhanced detection, and displaying on multiple outlets (internal screens and augmented reality mirrors). This multi-functional approach replaces the single-function fixed mirror while eliminating blind spots and providing comprehensive environmental awareness.
2Ease of operation
If the side mirror angle is fixed, then the ease of operation is improved, but the adaptability to different driving conditions (especially cornering) deteriorates
Solution Approach 1:
The patent implements a dynamic blind spot detection system that automatically adjusts camera selection and image processing based on real-time driving conditions. The processor receives vehicle speed and steering angle information, and dynamically selects appropriate camera views to display blind spot areas relevant to current maneuvers such as cornering. This dynamic adaptation eliminates the need for manual mirror adjustment while providing optimal visibility for varying driving conditions.
3Device complexity
If manual mirror adjustment is used, then the device complexity is minimized, but the productivity of blind spot monitoring is reduced
Solution Approach 1:
The patent implements a self-service blind spot monitoring system where the processor automatically selects appropriate cameras, processes images from multiple sensors, identifies blind spot areas, and displays relevant information without driver intervention. The system autonomously monitors vehicle surroundings, adjusts display content based on driving conditions, and provides continuous blind spot coverage, eliminating the need for manual mirror adjustment while significantly improving detection efficiency and responsiveness.
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 driving safety by allowing drivers to see blind spots through controlled camera angles, reducing the risk of accidents by detecting surrounding vehicles and displaying blind spot areas through AVN units or internal displays.
Implementation Method 1
a LiDAR sensor mounted on a vehicle to generate LiDAR data for sensing an environment surrounding the vehicle
Data Source
AI summary
An embodiment vehicle control device includes a LiDAR sensor mounted in a vehicle and configured to sense an environment surrounding the vehicle, an audio video navigation (AVN) unit mounted in the vehicle and configured to generate an event signal when a predetermined event area is sensed during driving of the vehicle, and a processor configured to acquire information on the environment surrounding the vehicle based on LiDAR data obtained by the LiDAR sensor and the event signal and to control a view angle of a camera mounted in the vehicle in response to the information on the environment.