Autonomous Vehicle Sensor Segmentation for Route and Stability Adaptation
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Solution Overview
Problem
Autonomous vehicles face challenges in ensuring safe operation and adaptability due to limitations in sensor configurations, control strategies, and redundancy, particularly in handling varying terrain, passenger safety, and dynamic object detection.
Innovation Solution
The vehicle is equipped with a plurality of sensors and processing circuitry that calibrate and adapt based on inputs from various sources, including radar, ultrasonic, and Light Detection and Ranging Sensors, to adjust routes, maintain stability, and respond to dynamic objects, while also managing power systems and manual/automatic mode transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors are positioned at various locations on the frame, then the vehicle's ability to detect and respond to dynamic objects is improved, but the device complexity increases
Solution Approach 1:
The sensor system is divided into multiple independent sensor units positioned at different locations on the frame (front, rear, sides, top). Each sensor independently monitors its specific zone, and the processing circuitry integrates data from all segments to achieve comprehensive environmental awareness and reliable object detection.
Solution Approach 2:
The processing circuitry serves multiple functions: it processes data from all sensor types (radar, ultrasonic, LIDAR), performs calibration, detects dynamic objects, determines vehicle behavior, and controls autonomous operation. This multi-functional approach consolidates complexity into a single versatile processing unit.
2Measurement precision
If the processing circuitry calibrates sensors based on test pieces in the vehicle path, then the measurement precision is improved, but the loss of time occurs during calibration
Solution Approach 1:
The system performs sensor calibration using test pieces that are placed in the vehicle's path during normal operation or setup. The processing circuitry automatically detects these test pieces and adjusts sensor parameters accordingly, ensuring precise measurements are ready before actual autonomous operation begins, eliminating the need for separate calibration sessions.
Solution Approach 2:
The processing circuitry automatically performs calibration operations without external intervention. When test pieces are detected in the vehicle path, the system self-adjusts sensor parameters based on the test piece data, eliminating the need for manual calibration procedures and reducing time loss.
3Adaptability or versatility
If the vehicle adapts behavior based on sensor output and multiple inputs, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The processing circuitry is designed as a universal control unit that receives and processes multiple types of inputs (sensor data, terrain information, vehicle state parameters) and generates appropriate behavioral adaptations. This single multi-functional unit replaces what would otherwise require multiple separate control systems, managing complexity while maintaining high adaptability.
Solution Approach 2:
The vehicle behavior is dynamically adjusted based on real-time sensor output and environmental conditions. The processing circuitry continuously modifies control parameters such as speed, steering angle, and acceleration to adapt to changing conditions, enabling versatile behavior through dynamic parameter adjustment rather than fixed control strategies.
4Adaptability or versatility
If the processing circuitry determines route changes based on multiple inputs including terrain and vehicle conditions, then the adaptability is improved, but the loss of time in processing increases
Solution Approach 1:
The processing circuitry continuously monitors all input parameters (sensor data, terrain characteristics, vehicle conditions) and maintains an updated planned route without interruption. Rather than periodically recalculating the route, the system continuously processes inputs and makes incremental adjustments, ensuring adaptability while minimizing processing delays through uninterrupted operation.
Solution Approach 2:
The system pre-processes and stores terrain data and vehicle condition parameters before route planning is needed. When route determination is required, the processing circuitry retrieves pre-prepared data and performs rapid calculations based on current sensor input, reducing real-time processing time while maintaining comprehensive route adaptability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration enhances the vehicle's ability to safely navigate diverse environments, maintain stability, and adapt to changing conditions, ensuring both passenger safety and efficient operation.
Implementation Method 1
The plurality of sensors includes at least one of a radar sensor, an ultrasonic sensor, or a Light Detection and Ranging Sensor
Implementation Method 2
The plurality of sensors includes at least one of a radar sensor, an ultrasonic sensor, or a Light Detection and Ranging Sensor
Implementation Method 3
The plurality of sensors includes at least one of a radar sensor, an ultrasonic sensor, or a Light Detection and Ranging Sensor
Data Source
AI summary
Embodiments of the present disclosure relate to autonomous and autonomous-ready vehicles. In an embodiment, a vehicle comprises a plurality of ground engaging members which support a frame. The frame of the vehicle supports a plurality of sensors which include a first set of sensors on a top of the frame, a second set of sensors at a front of the frame, a third set of sensors at a rear of the frame, and a fourth set of sensors at a side of the frame. The vehicle further comprises processing circuitry communicatively coupled to the plurality of sensors.