Host-Vehicle Risk Acquisition Device for Collision Avoidance
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Solution Overview
Problem
Existing collision avoidance systems struggle to accurately calculate the risk of collision between a host-vehicle and obstacles in complex environments like intersections, where multiple paths are possible, and fail to assess the safety of the host-vehicle in different travel states.
Innovation Solution
A host-vehicle risk acquisition device and method that calculates actual collision risk and offset risk by acquiring multiple paths of obstacles and evaluating travel states, including position and speed, to determine the safety of the host-vehicle in current and offset travel states, using a combination of sensors and computational modules to predict and compare collision probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only one predicted path of the obstacle is calculated, then the calculation process is simple, but the accuracy of collision risk assessment decreases in complex environments with multiple possible paths
Solution Approach 1:
The patent segments the obstacle's possible movements into multiple discrete paths (first predicted path, second predicted path, etc.). Each path is calculated separately using sensor data and prediction algorithms, allowing the system to assess collision risk for each individual path while maintaining manageable computational complexity through modular processing.
2Ease of operation
If only the current travel state of the host-vehicle is assessed, then the evaluation process is straightforward, but the safety degree in other possible travel states cannot be determined
Solution Approach 1:
The patent performs preliminary calculations of multiple predicted paths for obstacles before determining the final collision risk. By pre-calculating possible obstacle trajectories and storing them, the system can then efficiently assess collision risk for each path without requiring complex real-time computations during the actual risk evaluation.
3Measurement precision
If multiple predicted paths of obstacles are calculated, then the collision risk assessment accuracy improves in complex environments, but the calculation complexity increases
Solution Approach 1:
The patent incorporates feedback mechanisms where the collision risk acquisition portion receives sensor data about actual obstacle positions and movements, compares them with predicted paths, and adjusts subsequent path predictions accordingly. This feedback loop improves the accuracy of multiple path calculations while avoiding redundant computations by using actual observed data to refine future predictions.
Data Source
AI summary
A host-vehicle risk acquisition device includes a host-vehicle path acquisition portion that acquires a path of a host-vehicle, and an obstacle path acquisition portion that acquires a plurality of paths of an obstacle existing around the host-vehicle. A collision risk acquisition portion acquires an actual collision risk, which is a collision risk between the host-vehicle and the obstacle when the host-vehicle is in a travel state based on the path of the host-vehicle and the plurality of paths of the obstacle. An offset risk acquisition portion acquires an offset risk, which is a collision risk between the host-vehicle and the obstacle in an offset travel state, which is offset from the travel state of the host-vehicle.