Vehicle Navigation Under Sensor Uncertainty and Object Cross-Checking
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating safely and accurately due to the need to process and interpret various environmental factors like visual information, radar, lidar, GPS, and sensor data, while also identifying location, obstacles, and responding to traffic signals and signs.
Innovation Solution
The system employs cameras to provide navigational responses by analyzing images and combining data from GPS, accelerometers, and other sensors to identify target objects and determine driving conditions, triggering adjustments to vehicle actuators based on navigational constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses multiple sensors with overlapping fields of view to detect target objects, then the reliability of target detection is improved, but the device complexity increases
Solution Approach 1:
The system divides the detection task into multiple sensor units, each responsible for a specific field of view. The processing device separately processes outputs from each sensor and then integrates the results, allowing reliable detection through distributed sensing while maintaining manageable system architecture through modular processing
Solution Approach 2:
The system combines outputs from multiple sensors with overlapping fields of view to detect target objects. The processing device integrates information from first and second sensor outputs, cross-validating detections across sensors to improve reliability while using a unified processing architecture to manage the combined data stream
2Reliability
If the system processes sensor data to identify target objects and determine driving conditions, then the navigational safety is improved, but the processing time increases
Solution Approach 1:
The processing device continuously processes sensor data in real-time, maintaining ready-state detection capabilities before critical events occur. By continuously analyzing sensor outputs and pre-identifying potential target objects and driving conditions, the system reduces reaction time while ensuring comprehensive safety analysis is always performed
3Adaptability or versatility
If the system applies different adjustments to navigational actuators based on detected driving conditions, then the adaptability to various situations is improved, but the control system complexity increases
Solution Approach 1:
The processing device dynamically adjusts navigational actuator responses based on detected driving conditions and target object characteristics. The system modifies control parameters in real-time according to the specific situation, enabling adaptive response to varying conditions while using a flexible control architecture that handles different scenarios through parameter adjustment rather than separate control systems
Data Source
AI summary
The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may a first output from a first sensor and a second output from a second sensor; identify a target object in the first output; and determine, based on the first output, a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is triggered, the system may cause a first navigational adjustment. If the navigational constraint is not triggered, the system may determine whether a representation of the target object is included in the second output. If the representation of the target object is included in the second output, the system may cause a second navigational adjustment. If the representation of the target object is not included in the second output, the system may forego any navigational adjustments.