Dual-Mode Adaptive Radar for Anomalous Object Detection
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Solution Overview
Problem
Autonomous vehicle sensing apparatuses struggle to adequately identify and assess risks associated with anomalous objects, such as pedestrians, in environments where they are not typically encountered, leading to potential collisions.
Innovation Solution
Configuring the sensing apparatus to operate in dual modes, allocating processing resources between a primary mode for typical highway environments and a secondary mode focused on detecting pedestrians or other anomalous objects, allowing for reallocation of resources to prioritize pedestrian detection when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensing apparatus operates in a single primary mode optimized for typical highway environments, then processing efficiency and detection accuracy for common objects are improved, but the ability to detect anomalous objects such as pedestrians is degraded
Solution Approach 1:
The radar sensing apparatus dynamically switches between a primary operating mode optimized for highway environments and a secondary operating mode optimized for pedestrian detection. The system monitors for anomalous objects and transitions modes based on detected conditions, allowing it to adapt its detection parameters in real-time rather than being fixed in a single mode.
Solution Approach 2:
The system changes key operating parameters including pulse repetition frequency (PRF) and beamforming focus between modes. The primary mode uses PRF values optimized for highway speeds with beamforming focused on distant objects, while the secondary mode uses different PRF values and beamforming focus optimized for detecting pedestrians at closer ranges.
2Productivity
If processing resources are allocated primarily to highway environment detection, then productivity and response time for typical scenarios are improved, but reliability for detecting anomalous objects deteriorates
Solution Approach 1:
Processing resource allocation is dynamic rather than static. The system allocates resources to the primary highway detection mode during normal operation to maintain high productivity, but automatically reallocates resources to the secondary pedestrian detection mode when anomalous objects are detected, ensuring reliability in critical situations.
Solution Approach 2:
The system continuously monitors radar returns for indicators of anomalous objects and uses this feedback to trigger mode transitions. When the feedback indicates presence of pedestrians or other anomalous objects, the system responds by switching to the secondary mode with appropriate resource allocation, creating a closed-loop control system that balances productivity and reliability.
3Ease of operation
If the sensing apparatus uses a fixed operating mode, then device complexity is reduced and ease of operation is improved, but adaptability to different environmental conditions and object types deteriorates
Solution Approach 1:
The system employs dynamic mode switching that automatically adapts to environmental conditions without requiring manual intervention. The dual-mode architecture allows the radar to automatically transition between highway-optimized and pedestrian-optimized configurations based on detected conditions, maintaining ease of operation while significantly improving 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
Enhances the ability of autonomous vehicles to safely navigate by effectively identifying and avoiding anomalous objects, reducing the risk of collisions with pedestrians and other unexpected road users.
Implementation Method 1
a radar apparatus operating at an autonomous vehicle (AV)
Data Source
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AI summary
Methods and apparatuses disclosed within provide a solution to problems associated with sensing apparatus of an automated vehicle (AV) not being able to adequately evaluate risks associated with objects that are not characteristic with a given driving environment. A sensing apparatus tuned to drive at quickly down highway may not adequately identify risks associated with pedestrians walking along that highway. A solution to this problem involves configuring a sensing apparatus to operate in two different modes, for example, a highway mode and a pedestrian mode at virtually the same time. This may include allocating a first percentage of processing resources to a highway mode and allocating a second percentage of processing resources to a pedestrian mode. When objects along the highway are consistent with a pedestrian, additional processing resources of the sensing apparatus may be allocated to the pedestrian mode to reduce a risk of impacting the pedestrian.