Vehicle Perception Visualization Using Multi-Sensor Environmental Maps
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Solution Overview
Problem
Existing vehicle perception systems struggle to effectively integrate and interpret data from multiple sensor types to provide comprehensive environmental awareness, leading to incomplete or inaccurate representations of the vehicle's surroundings.
Innovation Solution
A system that fuses sensor data from various sensor sets, including cameras and radar, to generate a unified environmental map, which is then decoded to extract relevant features and present them on a graphical user interface, enhancing the vehicle's perception and navigation capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data from multiple sensor types is integrated to generate a unified environmental map, then the comprehensiveness and accuracy of environmental perception is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent combines data from multiple sensor types (cameras, radar, ultrasonic sensors) into a unified environmental map through sensor fusion. The mapper component integrates encoded images from different sensor sets to create a comprehensive representation of the vehicle's surroundings, improving perception accuracy while managing complexity through systematic data integration.
Solution Approach 2:
The patent introduces intermediate processing components (encoder, mapper, decoder) that mediate between raw sensor data and the final environmental map. The encoder transforms sensor data into encoded images, the mapper integrates these encodings, and the decoder extracts features, creating a structured pipeline that manages the complexity of multi-sensor integration.
2Loss of information
If multiple sensor sets with 360° coverage are deployed around the vehicle, then the environmental awareness is improved, but the cost and device complexity increase
Solution Approach 1:
The patent divides the sensor system into multiple discrete sensor sets positioned at different locations around the vehicle (front, rear, side cameras; radar sets; ultrasonic sensors). Each sensor set captures a specific field of view, and the mapper integrates these segmented views into a complete 360° environmental map, achieving comprehensive coverage through systematic segmentation.
Solution Approach 2:
The patent transforms data from multiple sensor sets operating in different spatial dimensions and modalities into a unified top-down environmental map representation. By mapping three-dimensional sensor data from various angles and types into a two-dimensional top-down view, the system achieves comprehensive environmental awareness while simplifying the integration process.
3Productivity
If sensor data is processed and fused to generate detailed environmental maps, then the navigation and decision-making capabilities are improved, but the computational energy consumption increases
Solution Approach 1:
The patent performs preliminary encoding of sensor data into compact representations before full environmental map generation. The encoder component transforms raw sensor data into encoded images that capture essential features in a compressed form, reducing the computational energy required for subsequent mapping and processing while maintaining navigation and decision-making effectiveness.
Data Source
AI summary
Perception visualization is provided. A system can receive, from a first plurality of sensors of a first sensor type, first sensor data. The system can receive, from a second plurality of sensors of a second sensor type, second sensor data. The system can generate, based on the first sensor data and the second sensor data, an environmental map. The system can identify, based on the environmental map, a plurality of objects and an indication of a route. The system can classify the plurality of objects and the route. The system can display, based on the classification, of a plurality of first visual representations corresponding to the plurality of objects a second visual representation based on the route.