Vehicle Position Recognition via V2X Sensor Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current advanced driver assistance systems (ADAS) face challenges in accurately recognizing the positions of vehicles outside the detectable range of sensors and correcting absolute positions using GPS, especially for vehicles beyond the sensor's sensing area.
Innovation Solution
An apparatus and method utilizing vehicle-to-everything (V2X) communication to exchange sensor information between vehicles, including a recognition unit, GPS receiver, communication unit, and processing unit, which calculates and corrects the absolute positions of vehicles by fusing relative positions from multiple sources, ensuring accurate recognition and correction of positions within a common sensor sensing range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor fusion technique using camera, radar and LiDAR is used, then recognition performance within detectable range is improved, but recognition capability for vehicles outside detectable area deteriorates
Solution Approach 1:
The patent combines sensor data from multiple vehicles through V2X communication to create a fused perception system. Each vehicle shares its sensor information (camera, radar, LiDAR data) with neighboring vehicles, allowing the collective system to detect objects beyond any single vehicle's sensor range. This merging of sensing capabilities effectively expands the detectable area while maintaining high recognition precision.
Solution Approach 2:
The patent introduces V2X communication as an intermediary to transfer sensor information between vehicles. This communication medium enables vehicles to indirectly sense objects outside their direct detection range by receiving processed sensor data from other vehicles, effectively extending the detection coverage without requiring each vehicle to have omnidirectional sensors.
2Measurement precision
If GPS is used to estimate absolute position, then position information is obtained, but correction capability for position accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where relative position information from sensor fusion is used to correct GPS-derived absolute positions. The system continuously compares the GPS position with the relative position calculated from fused sensor data, and uses this feedback to adjust and correct position estimates, thereby improving both accuracy and adaptability to various environmental conditions.
Solution Approach 2:
The patent changes the parameter representation by converting absolute GPS positions into relative positions based on fused sensor data. This parameter transformation allows the system to work with more accurate local relative positioning information while still maintaining global position context, enabling better correction capability across different scenarios.
3Measurement precision
If V2X communication is used to exchange sensor information, then position recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex V2X position recognition system into distinct functional modules: sensor information acquisition, data communication, position calculation, and position correction. Each module handles a specific aspect of the process, making the overall complex system more manageable and maintainable while achieving high position recognition accuracy through coordinated operation of these segmented components.
Data Source
AI summary
Disclosed are an apparatus and a method for recognizing a position of a vehicle. The apparatus includes a recognition unit that recognizes at least one first neighboring vehicle, a global positioning system (GPS) receiver that receives an absolute position of an own vehicle, a communication unit that transmits, to another vehicle, a relative position of the at least one first neighboring vehicle and the absolute position of the own vehicle and to receive, from the another vehicle, an absolute position of the another vehicle and a relative position of at least one second neighboring vehicle recognized by the another vehicle, and a processing unit that calculates the relative position of the at least one first neighboring vehicle, fuses relative positions of at least one third neighboring vehicle commonly recognized by the own vehicle and the another vehicle based on the relative position of the at least one first neighboring vehicle, the absolute position of the own vehicle, the absolute position of the another vehicle, and the relative position of the at least one second neighboring vehicle, and corrects an absolute position of at least one of the own vehicle, the another vehicle and the at least one third neighboring vehicle based on the fused relative position of the at least one third neighboring vehicle.