ADAS Vehicle Identification Without Bespoke Hardware
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Solution Overview
Problem
Conventional vehicle detection and identification systems require bespoke hardware installations, which are cumbersome and often prohibited by lease agreements, limiting their usability and optimal placement, and manual enforcement methods are inefficient.
Innovation Solution
Utilize native in-vehicle Advanced Driver Assistance Systems (ADAS) sensors to detect and identify vehicles, processing ADAS data to generate unique identification data including location, time, speed, and vehicle characteristics, without the need for additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bespoke vehicle mounted devices are installed for vehicle detection and identification, then detection and identification capabilities are improved, but installation complexity and time increase
Solution Approach 1:
The patent applies universality by using multi-functional ADAS sensors (cameras, LiDAR, radar) that were originally designed for driver assistance purposes. These same sensors are repurposed to perform vehicle detection and identification functions, eliminating the need for separate bespoke detection devices. The ADAS system simultaneously serves both its original safety function and the new law enforcement function, reducing overall system complexity and installation requirements.
2Measurement precision
If bespoke hardware is permanently installed in vehicles, then detection accuracy is improved, but adaptability to different applications and platforms decreases
Solution Approach 1:
The system achieves versatility by designing a software-based detection and identification platform that runs on existing ADAS hardware across different vehicle platforms. The same ADAS sensors and processing architecture can be applied to various applications including traffic monitoring, law enforcement, and parking management without requiring platform-specific hardware modifications.
Solution Approach 2:
The patent employs copying by creating virtual representations of physical vehicles through digital data packages. Instead of requiring physical bespoke devices in each vehicle, the system captures and processes digital copies of vehicle characteristics, license plates, and identification data through existing ADAS sensors, enabling deployment across diverse platforms without physical installation variations.
3Reliability
If additional bespoke imaging systems are mounted in-vehicle, then vehicle identification capability is improved, but driver view and screen usability are limited
Solution Approach 1:
The patent resolves this contradiction by repurposing existing ADAS imaging systems that are already optimally positioned for their original driver assistance functions. These same cameras and sensors capture vehicle identification data without requiring additional mounting that would obstruct driver view or interfere with existing screen usability. The system extracts dual functionality from existing components.
Data Source
AI summary
A system for automated vehicle identification and detection. The system may utilize native, in-vehicle advanced driver-assistance (ADAS) systems. Native, in-vehicle sensors may include sensors installed by vehicle manufacturers as part of the building of the vehicle for the purposes of assisting drivers in driving and parking functions (i.e., as part of an ADAS system). The system may process data from the native sensors and cameras to obtain features indicative of vehicles in the surroundings proximate to the vehicle on which the ADAS system is installed.