Rear Collision Avoidance System Using Sensor Segmentation
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Solution Overview
Problem
Rear collisions are common due to drivers' focus on vehicles ahead, leading to unawareness of potential threats behind them, which existing technologies have not effectively addressed in terms of prevention and avoidance.
Innovation Solution
A collision avoidance system that uses sensors to receive data on the subject vehicle's speed and the speed and distance of vehicles behind, evaluating the risk level and generating acceleration and steering data to prepare for actions, providing either driving assistance or autonomous control to prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers focus on vehicles ahead to maintain forward awareness, then forward collision avoidance is improved, but rear threat detection deteriorates
Solution Approach 1:
The system segments the monitoring task between driver (front) and automated sensor system (rear), allowing the driver to maintain forward focus while sensors independently monitor rear threats
Solution Approach 2:
The sensor system acts as an intermediary that detects rear threats and translates them into driver-awareness through alerts and automated responses, bridging the information gap
2Reliability
If automated sensor systems continuously monitor rear threats, then rear collision detection is improved, but system complexity increases
Solution Approach 1:
The sensor system performs multiple functions (detection, evaluation, alerting, and automated control) using a unified multi-functional architecture, reducing overall system complexity
Solution Approach 2:
The system merges sensor data processing, threat evaluation, and control actuation into an integrated automated response system, simplifying the architecture
3Reliability
If the system provides autonomous driving control to avoid collisions, then collision avoidance is improved, but driver control is reduced
Solution Approach 1:
The system dynamically adjusts the level of automation based on threat severity, transitioning between driver assistance and autonomous control modes as conditions require
Solution Approach 2:
The system provides continuous feedback to the driver about detected threats and automated actions taken, maintaining driver awareness and control oversight
Data Source
AI summary
A collision avoidance system includes a sensor system and a control system. The control system includes at least one processing device. The control system is operable to receive sensor data from the sensor system. The control system is operable to generate acceleration data to prepare for an acceleration action of the subject vehicle. The control system is operable to generate steering data to prepare for a steering action of the subject vehicle. The control system is operable to perform operations to provide driving assistance to the subject vehicle if a driving control input is received after the control unit generates the acceleration data and the steering data. The control system is operable to control the subject vehicle in an autonomous driving mode if driving control input is not received after the control unit generates the acceleration data and the steering data.