Multi-Sensor Collision Determination on Inclined Roads
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Solution Overview
Problem
Existing advanced driver-assistance systems (ADAS) face challenges in accurately determining collisions with obstacles on inclined roads, particularly due to environmental conditions like night or rough weather, and the absence of a preceding vehicle, leading to false determinations and potential accidents.
Innovation Solution
An information processing apparatus that utilizes a combination of cameras, millimeter-wave radars, and LiDAR sensors to recognize objects and determine collision possibilities, selectively using the results based on environmental conditions to suppress false detections, by employing an object recognition section and a collision determination section that integrates data from multiple sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based object recognition is used to identify obstacles on inclined roads, then the system can recognize objects in good weather conditions, but the recognition accuracy deteriorates significantly at night or during rough weather
Solution Approach 1:
The patent combines multiple object recognition methods (camera-based recognition and other sensing methods) into a unified system. The collision determination section integrates results from different recognition methods to compensate for the weaknesses of individual methods under various environmental conditions, thereby maintaining both accuracy and reliability.
Solution Approach 2:
The system dynamically changes the operating parameters by switching between different recognition methods based on environmental conditions. When camera-based recognition becomes unreliable due to lighting or weather conditions, the system transitions to alternative recognition methods, effectively adapting to varying environmental parameters.
2Measurement precision
If camera-based recognition is used to estimate road inclination by detecting the tail-ramp portion of a preceding vehicle, then inclination can be recognized when a preceding vehicle is present, but the method fails when no preceding vehicle exists
Solution Approach 1:
The patent creates a universal inclination detection capability by combining multiple recognition methods. The system can determine road inclination whether or not a preceding vehicle is present, as the collision determination section integrates information from different recognition methods to compensate for the absence of a preceding vehicle.
3Reliability
If multiple object recognition methods are integrated to improve reliability across different environments, then the system can maintain accuracy under various conditions, but the device complexity increases
Solution Approach 1:
The collision determination section acts as an intermediary that integrates results from multiple object recognition methods. This mediator component coordinates the different recognition methods, selecting and combining their outputs to achieve reliable obstacle detection while managing the complexity of having multiple sensors and processing paths.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively performs accurate collision determinations on inclined roads, reducing false alarms and ensuring safety by leveraging the strengths of each sensor type depending on environmental conditions and the presence of a preceding vehicle.
Implementation Method 1
a camera 201 that captures an image of a region situated ahead of the vehicle
Implementation Method 2
a millimeter-wave radar 202 that irradiates radio waves in a millimeter-wave band onto the region situated ahead, and detects the waves reflected off the object
Implementation Method 3
LiDAR 203 that irradiates laser light onto the region situated ahead of the vehicle, and detects the light reflected off the object
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, and a program that make it possible to perform an appropriate collision determination with respect to an obstacle on an inclined road. A result of an object recognition performed on the basis of an image captured by a camera, a result of an object recognition performed on the basis of a result of detection performed by a millimeter-wave radar, and a result of an object recognition performed on the basis of a result of detection performed by LiDAR are respectively detected; a result of the object recognition is selected depending on the environment around a vehicle; and whether there is a possibility of colliding with the object is determined on the basis of the selected result of the object recognition. The present disclosure is applicable to a vehicle-mounted system.