Omnidirectional Anti-Collision Region for Vehicle Obstacle Prediction
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Solution Overview
Problem
Current unmanned driving vehicles using sector detection regions with milliwave radars are unable to comprehensively cover all obstacles, leading to ineffective collision prevention when unexpected moving obstacles appear, resulting in traffic accidents.
Innovation Solution
A method that determines a conservative anti-collision region around the vehicle based on its position and driving direction, acquires omnidirectional environmental information using milliwave and/or laser radars, predicts obstacle behavior, and controls the vehicle to perform anti-collision actions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If sector detection regions are used with milliwave radars, then the detection system is simple and energy-efficient, but the detection coverage is insufficient and cannot cover all obstacles around the vehicle
Solution Approach 1:
The patent combines multiple detection technologies (milliwave radar and laser radar) into a unified detection system. The laser radar provides omnidirectional detection coverage while the milliwave radar supplements specific areas, creating a comprehensive detection network that covers all obstacles around the vehicle without requiring completely separate systems
Solution Approach 2:
The detection system is designed to perform multiple functions: the laser radar provides primary omnidirectional detection, while the milliwave radar provides supplementary detection in specific sectors. This multi-functional approach allows a single integrated system to achieve complete coverage that would require multiple specialized systems otherwise
2Reliability
If sector detection regions are used, then the system structure is simple, but the collision prevention effectiveness is poor when unexpected moving obstacles appear
Solution Approach 1:
The system performs preliminary detection actions by establishing omnidirectional monitoring coverage before collisions can occur. The laser radar continuously scans all directions around the vehicle, identifying potential obstacles early in their approach, allowing the control system to prepare preventive actions before the obstacles enter critical zones
Solution Approach 2:
The control system acts as an intermediary that processes detection data from both laser radar and milliwave radar, integrates this information, and generates appropriate control commands. This intermediary processing layer ensures that detection information from multiple sources is effectively combined to improve collision prevention reliability
3Area of stationary object
If omnidirectional environmental information is acquired using laser radar, then the detection coverage is comprehensive, but the energy consumption and system complexity increase
Solution Approach 1:
The detection task is segmented between two types of radars with different capabilities and energy consumption characteristics. The laser radar handles omnidirectional detection where comprehensive coverage is critical, while the milliwave radar handles supplementary detection in specific sectors, reducing the overall energy burden by dividing the detection workload appropriately
Solution Approach 2:
Different detection technologies are applied to different spatial zones around the vehicle based on local requirements. The laser radar provides high-precision omnidirectional detection in all directions, while the milliwave radar provides supplementary detection in specific sectors where additional coverage is needed, optimizing energy use by matching detection capability to local needs
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
This approach allows for accurate prediction and prevention of collisions by covering a wider area around the vehicle, enhancing safety by enabling timely and appropriate vehicle control to avoid obstacles, thus reducing the occurrence of traffic accidents.
Implementation Method 1
Milliwave radars are applied in current unmanned vehicles for perceiving the environmental information
Implementation Method 2
acquiring omnidirectional environmental information in a current region in the current conservative anti-collision region through an omnidirectional milliwave radar and/or a laser radar
Data Source
AI summary
The present disclosure provides a method, an apparatus, a device and a readable storage medium for preventing a vehicle collision. The method includes determining a current conservative anti-collision region of a vehicle acquiring the omnidirectional environmental information in the current region in the current conservative anti-collision region; predicting a behavior of an obstacle according to the omnidirectional environmental information in the current region, and controlling the vehicle to conduct an anti-collision behavior according a prediction result, a reasonable prediction may be made to the behavior of the obstacle based on the conservative anti-collision region and the omnidirectional environmental information, thus controlling the vehicle to conduct an accurate anti-collision behavior, thereby preventing collisions effectively, and avoiding an occurrence of traffic accidents.