Autonomous Vehicle Real-Time Analytics for Adaptive Operation
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating inclement weather, reckless drivers, and changing road conditions, as they struggle to process and respond to real-time data effectively.
Innovation Solution
A system and method that utilize real-time operating data from sensors to perform analytics, generating instructions to modify vehicle operations automatically, such as steering, braking, and acceleration, by comparing this data to vehicle performance metrics and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles process real-time operating data to respond to changing conditions, then safety and adaptability improve, but system complexity and computational requirements increase
Solution Approach 1:
The system segments real-time data processing into multiple specialized modules: sensor data acquisition module, environmental condition monitoring module, vehicle performance tracking module, analytics processing module, and control instruction generation module. Each module handles specific aspects of data processing independently, reducing overall system complexity while maintaining comprehensive safety monitoring
Solution Approach 2:
The patent introduces an intermediary processing layer between raw sensor data and vehicle control actions. This intermediary analytics system processes real-time operating data, compares it against historical performance data, and generates modified control instructions, thereby managing the complexity of real-time decision-making while improving safety responses
2Reliability
If real-time analytics are performed on operating data, then vehicle performance and safety improve, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing sensor data as it is acquired, performing initial validation and filtering before main analytics processing. Historical vehicle performance data is pre-collected and stored in ready-to-query formats, enabling faster real-time comparison and decision-making without delaying critical safety responses
Solution Approach 2:
The analytics system operates continuously rather than in discrete batches, maintaining constant monitoring of real-time operating data. This continuous processing ensures that safety-critical decisions are made without interruption or delay, while the system efficiently manages computational resources through sustained operation rather than periodic intensive processing
3Adaptability or versatility
If the system modifies vehicle operations based on real-time data, then adaptability to environmental conditions improves, but control system complexity increases
Solution Approach 1:
The system adapts to changing environmental conditions by dynamically modifying operational parameters of the vehicle based on real-time analytics. Instead of complex structural changes, the system adjusts controllable parameters such as speed, acceleration, steering angle, and braking force in response to detected conditions, achieving high adaptability through parameter modulation rather than system reconfiguration
Solution Approach 2:
The patent implements a closed-loop feedback system where real-time operating data is continuously analyzed, compared against desired performance targets, and used to generate corrective control instructions. This feedback mechanism enables the vehicle to automatically adapt to changing conditions by learning from performance deviations and adjusting control actions accordingly, reducing the need for complex pre-programmed decision logic
Data Source
AI summary
Systems and methods are disclosed for operating an autonomous vehicle based on real-time operating data. The operating data may be data about vehicles, drivers, passengers, as well as relevant environmental conditions and contextual data. In some cases, historical data for the preceding data types may be used. The systems and methods may obtain a set of real-time operating data indicative of one or more behaviors of an autonomous vehicle. One or more operations may be performed on the set of real-time operating data. An instruction to modify a particular vehicle operation may be generated based on output from the operations and the one or more behaviors of the autonomous vehicle, and the instruction to modify the particular vehicle operation may be provided to a particular processor that is on-board the vehicle and that controls the particular vehicle operation, to thereby automatically modify the particular vehicle operation.