ADAS Camera-Radar Fusion for Cut-In Collision Avoidance
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Solution Overview
Problem
Advanced Driving Assistance Systems (ADAS) face challenges in effectively preventing collisions by accurately determining collision risks and controlling vehicle speed and steering to avoid hazards, particularly when dealing with vehicles cutting into adjacent lanes or slippery road conditions.
Innovation Solution
A camera system integrated with a radar system and an electronic control unit (ECU) generates image and radar data to detect collision risks, controlling the vehicle's speed and steering to avoid collisions by transmitting signals to the vehicle's posture, engine, suspension, and brake controllers, and adjusting the emergency braking start time based on road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses a front-view camera for capturing the region ahead, then the basic sensing function is achieved, but the system cannot accurately detect collision risks from vehicles cutting into adjacent lanes or assess slippery road conditions
Solution Approach 1:
The patent divides the sensing system into multiple specialized sensors: a front-view camera for the region ahead, side-view cameras for adjacent lanes, and a radar system for detecting road conditions. Each sensor segment focuses on specific aspects of the driving environment, enabling accurate detection of vehicles cutting into lanes and assessment of slippery road conditions that a single front-view camera cannot capture
2Measurement precision
If the system integrates multiple sensors including side-view cameras and radar, then the sensing capability and collision risk detection accuracy are improved, but the device complexity increases
Solution Approach 1:
The patent merges multiple sensors (front-view camera, side-view cameras, radar system) and their processing functions into a single integrated sensor apparatus. This integration allows the system to achieve high collision risk detection accuracy while managing device complexity through unified architecture and centralized control
3Reliability
If the system determines collision risk accurately and controls vehicle speed and steering, then collision prevention effectiveness is improved, but the control system complexity and response time requirements increase
Solution Approach 1:
The system performs preliminary determination of collision risk by continuously monitoring the driving environment using integrated sensors before actual collision occurs. By detecting vehicles cutting into lanes and assessing road conditions in advance, the system can prepare control actions (speed adjustment, steering correction) proactively, improving collision prevention effectiveness while managing control complexity through advance preparation
Data Source
AI summary
An advanced driving assistance system (ADAS) provides collision avoidance control for a host vehicle. The system can include one or more sensors mounted to the host vehicle and configured to sense a driving lane in which the host vehicle is traveling and to sense an external vehicle partially engaged in the driving lane. A controller controls steering, braking, or acceleration of the host vehicle on the basis of sensing information received from the sensor. The controller determines the external vehicle partially engaged in the driving lane as a target vehicle having at least a part thereof overlapping with a lane mark of the driving lane, and performs longitudinal braking or acceleration control or lateral steering control on the host vehicle based on lateral and longitudinal positional relationships between the host vehicle and the target vehicle.