Crossroad AEB Sensor Fusion for Transverse Obstacle Detection
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Solution Overview
Problem
Conventional Autonomous Emergency Braking (AEB) systems face limitations in effectively determining collision possibilities and prioritizing obstacles moving in a horizontal direction at crossroads, which can lead to reduced safety and stability during vehicle operations.
Innovation Solution
An AEB system incorporating a vehicle dynamics sensor, Around View Monitoring (AVM) sensor, and an electronic control unit (ECU) that detects moving objects transverse to the vehicle's direction, calculates collision possibilities, and allocates priorities to select a control object, warning the driver or performing autonomous braking based on the assessed risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the AEB system focuses only on forward longitudinal regions using front sensors, then the system complexity is reduced and manufacturing is easier, but the system cannot detect obstacles moving in horizontal direction at crossroads
Solution Approach 1:
The AEB system integrates multiple sensor types (front sensors and side sensors) to perform both forward collision detection and crossroad obstacle detection with a single unified system, enabling multi-functional operation without requiring separate dedicated systems for each detection scenario
Solution Approach 2:
The detection field is segmented into forward longitudinal regions (detected by front sensors) and lateral crossroad regions (detected by side sensors), with each sensor type optimized for its specific detection zone while contributing to the overall comprehensive detection capability
2Measurement precision
If the AEB system detects and prioritizes multiple moving objects at crossroads, then the collision detection accuracy is improved, but the processing time and computational complexity increase
Solution Approach 1:
Different priority levels are assigned to different moving objects based on their local characteristics (distance, speed, trajectory), allowing the system to process multiple objects with varying computational resources allocated according to their collision risk level
Solution Approach 2:
The system dynamically changes detection parameters such as detection range, update frequency, and priority thresholds based on the number and characteristics of detected objects, optimizing processing efficiency while maintaining accurate collision risk assessment
Data Source
AI summary
An autonomous emergency braking (AEB) system includes a vehicle dynamics sensor and an around-view monitoring (AVM) sensor. The AVM sensor detects a distance and relative speed between the host vehicle and a peripheral object, or transmits an image of a peripheral region of the host vehicle to the ECU. The ECU receives detection signals from the sensors, determines the presence or absence of a moving object approaching in a direction transverse to a traveling direction of the host vehicle at crossroads during driving of the host vehicle, selects the detected moving object as a control object using the detected moving object detection information if the presence of the approaching moving object is determined, and warns a driver of the host vehicle about a high possibility of collision with the selected control object or performs autonomous emergency braking (AEB) of the host vehicle.