Vehicle Collision Response Control Based on Seat Occupancy
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Solution Overview
Problem
Existing advanced driver-assistance systems (ADAS) face challenges in effectively mitigating the effects of collisions by determining optimal responses based on seat occupancy and obstacle conditions, particularly when limitations in stopping distance and steering maneuvers are present.
Innovation Solution
A system and method that includes a processor and memory to determine seat occupancy and evaluate candidate responses, such as emergency braking and steering maneuvers, to mitigate collision effects by considering seat occupancy and obstacle conditions, thereby optimizing collision avoidance strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle implements a steering maneuver to avoid collision, then the collision avoidance effectiveness is improved, but the vehicle may collide with other obstacles or objects on the opposite side
Solution Approach 1:
The system performs preliminary detection of seat occupancy status before executing collision avoidance maneuvers. By determining in advance whether the opposite seat is occupied, the system can pre-select appropriate avoidance strategies, preventing harmful collisions with other obstacles when passengers are present
Solution Approach 2:
The system continuously monitors seat occupancy status and uses this feedback information to dynamically adjust collision avoidance decisions. The occupancy detection module provides real-time feedback that influences the selection of avoidance maneuvers, ensuring the vehicle does not steer into areas where passengers are located
2Reliability
If the vehicle applies emergency braking to avoid collision, then the collision mitigation effectiveness is improved, but the stopping distance requirement increases
Solution Approach 1:
The system dynamically selects between different avoidance strategies (steering maneuvers vs. emergency braking) based on real-time conditions including seat occupancy status. This dynamic decision-making allows the system to choose the most effective maneuver while considering the vehicle's stopping distance capabilities and the occupied seats' positions
3Object-affected harmful factors
If the system tailors collision responses to seat occupancy status, then the injury severity reduction is improved, but the system complexity increases
Solution Approach 1:
The system divides the vehicle interior into distinct occupied and unoccupied zones by detecting seat occupancy status. This segmentation allows the collision avoidance system to tailor maneuvers specifically protecting occupied areas, reducing injury severity through targeted protection strategies
Solution Approach 2:
The seat occupancy detection module serves multiple functions: it identifies passenger locations for protection, determines appropriate avoidance maneuvers, and prevents harmful steering into occupied areas. This multi-functionality reduces overall system complexity by combining several protective functions into a single detection system
Data Source
AI summary
A system for mitigating an effect of a collision between a vehicle and an obstacle can include a processor and a memory. The memory can store a seat occupancy determination module and a set of modules including a candidate response determination module, a candidate response evaluation module, and a controller module. The seat occupancy determination module can determine a state of a seat with respect to being occupied by a living being, the seat being on a first side opposite of a second side at which an operator is located. The set of modules can cause, in response to the state being: (1) occupied, a first set of operations to be implemented and (2) unoccupied, a second set of operations to be implemented. Each of the first set and the second set can be different from a current trajectory of the vehicle and can mitigate the effect of the collision.