Collision Warning System for Autonomous Vehicle Safety Operators
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Solution Overview
Problem
Safety operators of autonomous driving vehicles face challenges in maintaining focus and awareness of potential collisions, as they cannot constantly monitor the vehicle's surroundings while it operates in autonomous mode.
Innovation Solution
A collision warning system that uses sensors and networked communication to detect obstacles and calculate the time to collision, generating a warning signal if the time to collision is below a threshold or consistently decreasing, alerting the safety operator through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous vehicle operates in autonomous mode with minimal human interaction, then the vehicle can navigate to various locations using onboard sensors, but the safety operator cannot constantly monitor the vehicle's surroundings
Solution Approach 1:
The system implements a feedback mechanism by continuously calculating time to collision (TTC) based on sensor data and planned trajectory, then providing warning signals to the safety operator when collision risk is detected. This closed-loop feedback ensures the operator is informed of potential dangers without requiring constant active monitoring.
Solution Approach 2:
The collision warning system acts as an intermediary between the autonomous driving system and the safety operator. It processes sensor data and trajectory information automatically, then communicates critical collision risk information to the operator, bridging the gap between autonomous operation and human oversight.
2Reliability
If the safety operator takes over automated driving systems when there is a clear danger of collision, then traffic accidents can be prevented, but it is hard for the safety operator to be focused at all times
Solution Approach 1:
The system performs preliminary action by calculating time to collision continuously in advance and issuing warning signals before actual collision danger occurs. This allows the safety operator to be alerted proactively and take preventive action rather than reacting to immediate threats.
Solution Approach 2:
The autonomous vehicle system performs self-service by automatically monitoring its own trajectory, detecting obstacles, calculating collision risk, and generating warning signals without requiring continuous human intervention. This automates the safety monitoring function while keeping the operator available when needed.
3Reliability
If the system generates a warning signal when time to collision is less than a threshold or consistently decreasing, then the safety operator is alerted to potential collisions, but the system requires continuous monitoring and calculation
Solution Approach 1:
The system extracts only the critical collision risk information from the full set of sensor data and trajectory parameters. By focusing specifically on time to collision calculation and comparing it against thresholds, the system filters out unnecessary data processing while maintaining high warning accuracy.
Solution Approach 2:
The system monitors changes in the time to collision parameter over time. By detecting when TTC becomes less than a threshold or consistently decreases across multiple planning cycles, the system identifies collision risk through parameter change detection rather than requiring complex pattern recognition.
Data Source
AI summary
Embodiments disclose a system and method to send an alert/warning for a potential collision to a safety operator of an autonomous driving vehicle (ADV). According to one embodiment, a system perceives an environment of an autonomous driving vehicle (ADV), including one or more obstacles. The system determines whether the ADV will potentially collide with the one or more obstacles based on a planned trajectory. If the ADV is determined to potentially collide, the system determines a time to collision based on the planned trajectory and the one or more obstacles. If the determined time to collision is less than a threshold or the time to collision decreases for a predetermined number of consecutive planning cycles, the system generates a warning signal to alert an operator of the ADV. The system sends the warning signal to an operator interface of the ADV to alert the operator of the potential collision.