Vehicle Travel Control Using Dynamic Map Mismatch Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automatic travel vehicles may misidentify obstacles due to measurement errors between vehicle-mounted sensors and dynamic maps, leading to abnormal operations such as sudden stops or accelerations.
Innovation Solution
A vehicle traveling control device that periodically receives a dynamic map, compares object data from the map with sensor measurements, and uses a proximity information processor to set objects as avoidance targets or non-targets, preventing misidentification by excluding the vehicle itself as an avoidance target and identifying potential obstacles for safe navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle-mounted device uses both vehicle-mounted sensor results and dynamic map data for obstacle detection, then the coverage and accuracy of obstacle recognition is improved, but measurement errors and misidentification of objects may occur leading to abnormal vehicle operations
Solution Approach 1:
The patent introduces a server as an intermediary that collects sensor data from multiple vehicles, performs centralized processing and matching between sensor results and dynamic map data, and generates corrected dynamic maps. This intermediary approach allows complex error correction and object identification to be performed remotely, preventing misidentification issues while maintaining improved obstacle detection accuracy through data fusion
Solution Approach 2:
The system implements feedback by continuously comparing vehicle-mounted sensor measurements with dynamic map data, identifying mismatches and measurement errors, and using this comparison to correct the dynamic map. The corrected dynamic map is then fed back to improve subsequent obstacle detection accuracy, creating a closed-loop system that reduces misidentification over time
2Measurement precision
If the vehicle-mounted device reconstructs the dynamic map using server data and vehicle-mounted sensor results, then the obstacle detection capability is enhanced, but the complexity of data processing and coordination increases
Solution Approach 1:
The patent divides the data processing functionality into separate segments: the server handles complex data collection, matching, and dynamic map reconstruction tasks, while the vehicle-mounted device focuses on acquiring sensor data and receiving corrected dynamic maps. This segmentation reduces the processing complexity burden on individual vehicle devices while maintaining enhanced obstacle detection capabilities through centralized intelligent processing
Data Source
AI summary
A vehicle traveling control device includes: a communicator periodically receiving a dynamic map; a sensor management circuit collecting, from one or more sensors measuring a state of objects around a vehicle, a result of measurement representing the state of objects around the vehicle; a surrounding information comparator comparing object data represented by the dynamic map with object data represented by the result of measurement, and in response to finding mismatching object data, detecting, from the mismatching object data, data of the dynamic map representing an object within a specified range from the vehicle; and a proximity information processor setting, from the data of the dynamic map detected by the surrounding information comparator, data representing the vehicle as an avoidance non-target object in traveling control, and setting data representing an object other than the vehicle as an avoidance target object in traveling control or the avoidance non-target object.