Coordinated Vehicle Safety Responses via Wireless Feedback
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Solution Overview
Problem
Conventional autonomous vehicle systems are rule-based and proprietary, limiting their ability to effectively communicate and coordinate safety responses with other vehicles in real-time, especially in multi-vehicle scenarios, leading to potential dangerous situations due to delayed reaction times and lack of shared accident avoidance strategies.
Innovation Solution
A system and method that identify nearby vehicles, transmit and receive safety responses, filter optimal responses based on feedback, and execute them if an event occurs, enabling coordinated safety maneuvers through wireless communication and shared knowledge of potential events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional rule-based autonomous systems are used, then each vehicle can independently respond to events, but reaction time is delayed (1-2 seconds) and coordination with other vehicles is limited
Solution Approach 1:
The system performs preliminary actions by pre-calculating and transmitting safety responses to nearby vehicles before actual events occur. When potential hazards are detected, the system sends advance notifications and coordinated maneuver instructions to multiple vehicles, allowing them to prepare and execute safety maneuvers simultaneously when the event actually occurs, thereby reducing reaction time from 1-2 seconds to near-instantaneous response.
Solution Approach 2:
The system introduces a communication intermediary layer that enables vehicles to exchange safety information and coordinate responses. This intermediary communication system allows vehicles to share hazard detections, proposed safety maneuvers, and response status, enabling coordinated multi-vehicle safety responses rather than isolated individual reactions, thus improving overall reliability and reducing effective reaction time through parallel processing.
2Reliability
If proprietary autonomous systems are used by each car maker, then each vehicle is optimized for its own safety, but communication and coordination between vehicles from different manufacturers is limited
Solution Approach 1:
The system implements a universal communication protocol and standardized message format that enables vehicles from different manufacturers to exchange safety information and coordinate maneuvers. The standardized interface allows proprietary safety systems to interoperate through a common language, enabling multi-manufacturer vehicle fleets to achieve coordinated accident avoidance while maintaining each manufacturer's optimized safety algorithms, thus improving adaptability without compromising reliability.
3Ease of operation
If semi-autonomous features engage at the time of real events, then response actions can be taken, but each vehicle's independent reaction could cause dangerous situations for other vehicles
Solution Approach 1:
The system implements continuous feedback loops where vehicles transmit their intended safety maneuvers to nearby vehicles and receive acknowledgments or alternative suggestions. Before executing any safety response, the system checks with coordinated vehicles to ensure the proposed maneuver won't create hazardous situations for others. This feedback mechanism allows autonomous operation while preventing harmful side effects through real-time coordination and mutual awareness of intended actions.
Data Source
AI summary
A system(s) and method(s) for enabling safety of a vehicle is disclosed. The method comprises identifying one or more secondary vehicles in the vicinity of a vehicle and transmitting one or more potential safety responses to the one or more secondary vehicles. Further, the method comprises receiving response data from the one or more secondary vehicles based on the one or more potential safety responses, wherein the response data comprises one of an OK response or a NOT OK response corresponding to each of the one or more potential safety responses. Furthermore, the method comprises identifying one or more optimal responses based on filtering of the one or more potential safety responses using the response data and executing the optimal responses if the event occurs, thereby enabling vehicle safety.