Automated Driving Algorithm Switching for Changing Travel Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated driving technologies fail to adapt processing algorithms to varying traveling environments, leading to suboptimal safety, travel quality, and efficiency due to fixed algorithms that do not account for differences in road types, time, and other environmental factors.
Innovation Solution
An information processing apparatus and method that dynamically switch and change object recognition and action planning algorithms based on the traveling environment, using sensors to recognize obstacles and plan routes, optimizing algorithms for improved safety, quality, and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed processing algorithm is used for automated driving, then device complexity is reduced and ease of operation is improved, but adaptability to different traveling environments deteriorates and processing efficiency is reduced
Solution Approach 1:
The patent implements dynamic algorithm switching by enabling the automated driving system to select between different recognition algorithms and action planning algorithms based on the current traveling environment. The system transitions from a static fixed algorithm to a dynamic adaptive system that changes processing methods according to environmental conditions such as road type, weather, and traffic density.
Solution Approach 2:
The system changes operational parameters by switching between different algorithm configurations based on environmental parameters. The control unit monitors traveling environment parameters and adjusts the algorithm selection accordingly, effectively changing the processing parameters to match the current operating conditions for optimal performance.
2Productivity
If environment-specific algorithms are implemented, then processing efficiency and safety are improved, but device complexity and computational load increase
Solution Approach 1:
The patent segments the automated driving system into distinct functional modules: an obstacle recognition unit with multiple recognition algorithms and an action planning unit with multiple planning algorithms. This segmentation allows each module to independently select and execute the most appropriate algorithm for the current environment, improving processing efficiency while managing complexity through modular architecture.
Solution Approach 2:
The control unit serves as an intermediary that manages the selection and switching between different algorithms. It receives environmental data, determines the appropriate algorithm configuration, and coordinates the execution between the recognition unit and action planning unit, thereby simplifying the management of multiple algorithms through a centralized control mechanism.
3Adaptability or versatility
If algorithm switching is performed frequently, then adaptability to changing environments is improved, but system stability and response time deteriorate
Solution Approach 1:
The system performs preliminary assessment of environmental changes before triggering algorithm switching. The control unit continuously monitors traveling environment parameters and only initiates algorithm switching when significant environmental changes are detected, preventing unnecessary frequent switching while maintaining rapid response to genuine environmental transitions.
Solution Approach 2:
The system implements buffer mechanisms to cushion against excessive algorithm switching. By setting threshold criteria for environmental changes and implementing smooth transition protocols between algorithms, the system prevents instability caused by frequent switching while maintaining adaptability to genuine environmental variations.
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, and a program which enable appropriate switching of a processing algorithm required in automated driving in accordance with a traveling environment.An obstacle is recognized on the basis of sensor information by a recognition algorithm for recognizing the obstacle, a travel route of a mobile apparatus is planned by an action planning algorithm for planning the travel route, and control is performed to switch at least any of the recognition algorithm and the action planning algorithm on the basis of a traveling environment of the mobile apparatus. The present disclosure can be applied to a moving body apparatus that performs automated driving.