TRAVELING ENVIRONMENT RECOGNITION DEVICE AND METHOD
First Claim
1. A traveling environment recognition device that recognizes a traveling environment of one'"'"'s own vehicle, the device comprising:
- own vehicle position determining means for determining a position and a traveling direction of the own vehicle in an absolute coordinate system with its origin at an arbitrary point on the basis of information from one or more sensors for detecting a quantity of motion of the own vehicle; and
occupancy grid map generating means for dividing the absolute coordinate system into a grid of equal cells, and generating an occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the grid, and updating the occupancy probability according to Bayesian inference, wherein the occupancy grid map generating means comprises;
object occupancy probability calculating means for calculating, on the basis of information from a radar device that detects a forward object of the own vehicle, which is an obstacle, the occupancy probability of the forward object for each cell of the occupancy grid map;
other vehicle occupancy probability calculating means for calculating, on the basis of information from a communication device that receives positional information transmitted from another vehicle around the own vehicle, which is an obstacle, the occupancy probability of the other vehicle for each cell of the occupancy grid map;
traffic lane line occupancy probability calculating means for calculating, on the basis of information from a storage device that stores map data which allows a position to be specified of a traffic lane line which is an obstacle, the occupancy probability of the traffic lane line for each cell of the occupancy grid map; and
occupancy probability blending means for blending, for each cell of the occupancy grid map, the occupancy probability calculated by the object occupancy probability calculating means, the occupancy probability calculated by the other vehicle occupancy probability calculating means, and the occupancy probability calculated by the traffic lane line occupancy probability calculating means to provide a blended occupancy probability of the obstacles to traveling of the own vehicle.
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Abstract
A traveling environment recognition device capable of accurately recognizing a traveling environment of a vehicle. An occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the occupancy grid map is generated, and the occupancy probability for each cell is updated according to Bayesian inference. More specifically, for each cell of the occupancy grid map, the occupancy probability calculated from information from a radar device, the occupancy probability calculated from information from a communication device, and the occupancy probability calculated from information from a storage device that stores map data are blended to provide an occupancy probability of the obstacles to traveling of the own vehicle, which leads to more accurate traveling environment recognition.
89 Citations
16 Claims
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1. A traveling environment recognition device that recognizes a traveling environment of one'"'"'s own vehicle, the device comprising:
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own vehicle position determining means for determining a position and a traveling direction of the own vehicle in an absolute coordinate system with its origin at an arbitrary point on the basis of information from one or more sensors for detecting a quantity of motion of the own vehicle; and occupancy grid map generating means for dividing the absolute coordinate system into a grid of equal cells, and generating an occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the grid, and updating the occupancy probability according to Bayesian inference, wherein the occupancy grid map generating means comprises; object occupancy probability calculating means for calculating, on the basis of information from a radar device that detects a forward object of the own vehicle, which is an obstacle, the occupancy probability of the forward object for each cell of the occupancy grid map; other vehicle occupancy probability calculating means for calculating, on the basis of information from a communication device that receives positional information transmitted from another vehicle around the own vehicle, which is an obstacle, the occupancy probability of the other vehicle for each cell of the occupancy grid map; traffic lane line occupancy probability calculating means for calculating, on the basis of information from a storage device that stores map data which allows a position to be specified of a traffic lane line which is an obstacle, the occupancy probability of the traffic lane line for each cell of the occupancy grid map; and occupancy probability blending means for blending, for each cell of the occupancy grid map, the occupancy probability calculated by the object occupancy probability calculating means, the occupancy probability calculated by the other vehicle occupancy probability calculating means, and the occupancy probability calculated by the traffic lane line occupancy probability calculating means to provide a blended occupancy probability of the obstacles to traveling of the own vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A traveling environment recognition device that recognizes a traveling environment of one'"'"'s own vehicle, the device comprising:
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own vehicle position determining means for determining a position and a traveling direction of the own vehicle in an absolute coordinate system with its origin at an arbitrary point on the basis of information from one or more sensors for detecting a quantity of motion of the own vehicle; and occupancy grid map generating means for dividing the absolute coordinate system into a grid of equal cells, and generating an occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the grid, and updating the occupancy probability according to Bayesian inference, wherein the occupancy grid map generating means comprises; object occupancy probability calculating means for calculating, on the basis of information from a radar device that detects a forward object of the own vehicle, which is an obstacle, the occupancy probability of the forward object for each cell of the occupancy grid map; other vehicle occupancy probability calculating means for calculating, on the basis of information from a communication device that receives positional information transmitted from another vehicle around the own vehicle, which is an obstacle, the occupancy probability of the other vehicle for each cell of the occupancy grid map; and occupancy probability blending means for blending, for each cell of the occupancy grid map, the occupancy probability calculated by the object occupancy probability calculating means, and the occupancy probability calculated by the other vehicle occupancy probability calculating means to provide a blended occupancy probability of the obstacles to traveling of the own vehicle.
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14. A traveling environment recognition device that recognizes a traveling environment of one'"'"'s own vehicle, the device comprising:
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own vehicle position determining means for determining a position and a traveling direction of the own vehicle in an absolute coordinate system with its origin at an arbitrary point on the basis of information from one or more sensors for detecting a quantity of motion of the own vehicle; and occupancy grid map generating means for dividing the absolute coordinate system into a grid of equal cells, and generating an occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the grid, and updating the occupancy probability according to Bayesian inference, wherein the occupancy grid map generating means comprises; object occupancy probability calculating means for calculating, on the basis of information from a radar device that detects a forward object of the own vehicle, which is an obstacle, the occupancy probability of the forward object for each cell of the occupancy grid map; traffic lane line occupancy probability calculating means for calculating, on the basis of information from a storage device that stores map data which allows a position to be specified of a traffic lane line which is an obstacle, the occupancy probability of the traffic lane line for each cell of the occupancy grid map; and occupancy probability blending means for blending, for each cell of the occupancy grid map, the occupancy probability calculated by the object occupancy probability calculating means, and the occupancy probability calculated by the traffic lane line occupancy probability calculating means to provide a blended occupancy probability of the obstacles to traveling of the own vehicle.
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15. A method of recognizing a traveling environment of one'"'"'s own vehicle, the method comprising the steps of:
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determining a position and a traveling direction of the own vehicle in an absolute coordinate system with its origin at an arbitrary point on the basis of information from one or more sensors for detecting a quantity of motion of the own vehicle; and dividing the absolute coordinate system into a grid of equal cells, and generating an occupancy grid map that stores an occupancy probability of each obstacle to traveling of the own vehicle for each cell of the grid, and updating the occupancy probability according to Bayesian inference, wherein the occupancy grid map generating step comprises; calculating, on the basis of information from a radar device that detects a forward object of the own vehicle, which is an obstacle, the occupancy probability of the forward object for each cell of the occupancy grid map; calculating, on the basis of information from a communication device that receives positional information transmitted from another vehicle around the own vehicle, which is an obstacle, the occupancy probability of the other vehicle for each cell of the occupancy grid map; calculating, on the basis of information from a storage device that stores map data which allows a position to be specified of a traffic lane line which is an obstacle, the occupancy probability of the traffic lane line for each cell of the occupancy grid map; and blending, for each cell of the occupancy grid map, the occupancy probability calculated in the object occupancy probability calculating step, the occupancy probability calculated in the other vehicle occupancy probability calculating step, and the occupancy probability calculated in the traffic lane line occupancy probability calculating step to provide a blended occupancy probability of the obstacles to traveling of the own vehicle. - View Dependent Claims (16)
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Specification