Vehicle Animal Stimulus Control for Collision Risk Reduction
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Solution Overview
Problem
Current advanced driver assist systems (ADAS) can detect animals on the road and attempt to avoid them, but they do not control animal behavior, limiting their effectiveness in preventing accidents, as animals may freeze or move into the path of vehicles, leading to potential collisions.
Innovation Solution
A vehicle processing system that identifies animals near the vehicle, simulates various animal responses to different stimuli, selects an appropriate stimulus mode based on simulations considering road, traffic, and weather conditions, and controls vehicle signal devices to elicit a behavior that minimizes accident risk, such as using lights and sounds to guide animals off the road.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advanced driver assist systems (ADAS) are used to detect animals and control vehicle maneuvers, then vehicle collision avoidance capability is improved, but the system cannot control animal behavior which limits effectiveness
Solution Approach 1:
The patent introduces signal devices (lights, sounds) as intermediary tools between the vehicle and the animal. These signal devices serve as a mediator to communicate with and influence animal behavior, allowing the system to indirectly control animals rather than directly interfering with them. The processing system selects and controls appropriate signal devices based on simulated animal responses to reduce collisions.
Solution Approach 2:
The system performs simulations of animal responses to different stimuli before actually applying the stimuli. This preliminary action allows the system to predict animal behavior outcomes and select the most effective signal device combination in advance, improving the reliability of collision avoidance while adapting to different animal species and situations.
2Adaptability or versatility
If multiple different stimuli modes are used to elicit different animal behaviors, then adaptability to various animal responses is improved, but device complexity increases
Solution Approach 1:
The patent employs multiple signal devices (lights, sounds, and other vehicle signal devices) that can serve different functions but are controlled through a single universal processing system. This multi-functional approach allows the system to adapt to various animal species and behaviors while maintaining a relatively simple control architecture through centralized decision-making.
Solution Approach 2:
The system uses simulations to create virtual models of animal responses to different stimuli. By copying and analyzing animal behavior patterns in a simulated environment, the system can determine effective real-world stimuli without needing complex real-time control mechanisms for each possible animal response scenario.
3Measurement precision
If simulations of animal responses are performed to select optimal stimuli, then accuracy of animal behavior prediction is improved, but processing time and computational requirements increase
Solution Approach 1:
The system performs simulations of animal responses to different stimuli before actual deployment. This preliminary simulation phase allows the system to pre-determine the most effective stimuli for different animal types and situations, storing these results for rapid retrieval and execution during real-time operations, thus balancing accuracy with time efficiency.
Data Source
AI summary
Various embodiments include methods and vehicle processing systems implementing such methods for protecting vehicles from dangers caused by animals on or near the roadway. In various embodiments, a vehicle processing system may perform a recognition process to identify an animal detected in proximity to the vehicle, perform a plurality of simulations of outcomes for the vehicle and other vehicles resulting from stimulating the identified animal using multiple different stimuli modes of the vehicle signal devices in which each different stimuli mode is predicted to elicit different animal behaviors, select one of the different stimulus modes to be performed by vehicle signal devices to elicit a behavior of the identified animal based on the plurality of simulated outcomes for the vehicle and other vehicles, and control signal devices of the vehicle to perform the selected stimulus.