In-Vehicle Step Elimination Detection via Height and Inclination
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Solution Overview
Problem
Current automatic driving and driving assistance systems lack effective detection of entry regions on road surfaces, which vary based on road conditions such as curbstone cuts and slopes, making it difficult to accurately identify potential hazards for all vehicles and drivers.
Innovation Solution
An in-vehicle information processing device connected to sensors that detects step situations on road surfaces, identifying step elimination regions by determining height differences and inclinations, and a map data management system that shares this information to enhance vehicle control and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection methods are used to identify entry regions, then building doorways and intersections can be detected, but road surface conditions such as curbstone cuts and slopes cannot be detected
Solution Approach 1:
The invention changes the detection parameters from detecting specific objects (doorways, intersections) to detecting road surface physical parameters (height difference, inclination angle). By measuring the height difference between road surface and adjacent areas, and the inclination angle of the road surface, the system can identify step elimination regions that were previously undetectable.
2Adaptability or versatility
If step elimination regions are detected using height difference and inclination measurements, then road surface entry regions can be identified, but the detection system becomes more complex
Solution Approach 1:
The invention makes the detection device universal by enabling it to detect multiple types of entry regions using the same measurement principles. The same height difference and inclination angle measurements can identify curbstone cuts, slopes, and other step elimination regions, eliminating the need for separate detection systems for different road surface conditions.
Solution Approach 2:
The detection system uses the vehicle's own sensors and measurement capabilities to automatically identify step elimination regions. The system self-calibrates by measuring height differences and inclination angles directly, without requiring external databases or manual mapping of road surface conditions.
3Reliability
If entry regions are shared across vehicles through map data, then driving safety can be improved, but real-time road surface condition updates become difficult
Solution Approach 1:
The invention implements a feedback mechanism where detection results from individual vehicles are transmitted to a map data management center, which then updates the map database. This creates a continuous loop where new detections of step elimination regions are shared across the network, allowing all vehicles to benefit from real-time updates about road surface conditions without each vehicle needing continuous real-time sensing of the entire road network.
Data Source
AI summary
An object of the present invention is to detect a step elimination region according to a road surface situation of a road and to allow a moving body to travel in more realistic manner. In order to solve the above problem, the present invention is an in-vehicle information processing device which is connected to a sensor 2 and implemented by an MPU 7 provided in a vehicle 1, the in-vehicle information processing device including: a curbstone shape detection unit 3 that detects a curbstone shape, which is a step situation on a road surface, by using a road surface situation of a road on which the vehicle 1 moves, the road surface situation being detected by the sensor 2; a passage caution spot detection unit 5 that detects a passage caution spot, which is a type of a step elimination region satisfying a predetermined condition, on the basis of the curbstone shape; and an output unit that outputs the passage caution spot information.