초록 ▼

A method and system for detecting an object uses a composite evidence grid based on dual frequency sensing. A source transmits a laser transmission in a first zone. A detector receives a reflection of the laser transmission from an object in the first zone to determine laser observed data associated

A method and system for detecting an object uses a composite evidence grid based on dual frequency sensing. A source transmits a laser transmission in a first zone. A detector receives a reflection of the laser transmission from an object in the first zone to determine laser observed data associated with points on the object. A transmitter transmits a radar transmission in a second zone that overlaps with the first zone. A receiver receives a reflection of the radar transmission from an object in the second zone to determine radar observed data associated with points on the object. The laser observed data is processed to form a laser occupancy grid for the first zone and the radar observed data is processed to form a radar occupancy grid for the second zone. An evaluator evaluates the radar occupancy grid and the laser occupancy grid to produce a composite evidence grid for at least an overlapping region defined by the first zone and the second zone.

대표청구항 ▼

What is claimed is: 1. A method of detecting an object, the method comprising: transmitting a laser transmission over a first frequency range in a first zone; receiving a reflection of the laser transmission from an object in the first zone to determine laser observed data associated with points on

What is claimed is: 1. A method of detecting an object, the method comprising: transmitting a laser transmission over a first frequency range in a first zone; receiving a reflection of the laser transmission from an object in the first zone to determine laser observed data associated with points on the object; processing the laser observed data to form a later occupancy grid for the first zone; transmitting a radar transmission over a second frequency range in a second zone that overlaps with the first zone; receiving a reflection of the radar transmission from an object in the second zone to determine radar observed data associated with points on the object; processing the radar observed data to form a radar occupancy grid for the second zone; and evaluating the radar occupancy grid and the laser occupancy grid to produce a composite evidence grid for at least an overlapping region defined by the first zone and the second zone. 2. The method according to claim 1 further comprising: applying a first data processing technique in accordance with Bayes law to the observed laser data associated with different corresponding sample times to determine a laser occupancy grid; and applying a second data processing technique in accordance with Bayes law to the observed radar data associated with different corresponding sample times to determine a temporal radar occupancy grid. 3. The method according to claim 2 wherein the evaluating comprises applying a third data processing technique in accordance with Bayes law with respect to the laser occupancy grid and the radar occupancy grid to form a composite evidence grid for an overlapping region defined by an intersection of the first zone and the second zone. 4. The method according to claim 1 wherein the laser occupancy grid is a two-dimensional grid; each cell in the laser occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region represented by the cell of the grid is occupied by an object; and wherein the radar occupancy grid is a two-dimensional grid; each cell in the radar occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region represented by the cell is occupied by an object. 5. The method according to claim 1 wherein the laser occupancy grid is a three-dimensional grid; each cell in the laser occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region in the grid is occupied by an object and; wherein the radar occupancy grid is a three-dimensional grid; each cell in the radar occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region in the grid is occupied by an object. 6. The method according to claim 1 further comprising transforming probability levels of the cells of the laser occupancy grid for a non-overlapping region within the first zone to form an addendum evidence grid; and combining the addendum evidence grid to the composite evidence grid to form an augmented evidence grid. 7. The method according to claim 1 further comprising: defining an object representation for the object in the first zone by defining a boundary of the object from the composite evidence grid and estimating at least one dimension associated with the defined boundary. 8. The method according to claim 7 further comprising: characterizing the object as a trunk, a limb, or another tree portion based on the defined object representation. 9. A system for detecting an object, the system comprising: a source for transmitting a laser transmission in a first zone; a detector for receiving a reflection of the laser transmission from an object in the first zone to determine laser observed data associated with points on the object; a transmitter for transmitting a radar transmission in a second zone that overlaps with the first zone; a receiver for receiving a reflection of the radar transmission from an object in the second zone to determine radar observed data associated with points on the object; a data processing system for processing the determined laser observed data to form a laser occupancy grid for the first zone and for processing the determined radar observed data to form a radar occupancy grid for the second zone; and an evaluator for evaluating the radar occupancy grid and the laser occupancy grid to produce a composite evidence grid for at least an overlapping region defined by the first zone and the second zone. 10. The system according to claim 9 wherein the data processing system applies a first data processing technique in accordance with Bayes law to the observed laser data associated with different corresponding sample times to determine a laser occupancy grid; the data processing system applies a second data processing technique in accordance with Bayes law to the observed radar data associated with different corresponding sample times to determine the radar occupancy grid. 11. The system according to claim 10 wherein the evaluator applies a third data processing technique in accordance with Bayes law with respect to the laser occupancy grid and the radar occupancy grid to form a composite evidence grid for the overlapping region defined by the first zone and the second zone. 12. The system according to claim 9 wherein the laser occupancy grid is a two-dimensional grid; each cell in the laser occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region represented by the cell of the grid is occupied by an object; and wherein the radar occupancy grid is a two-dimensional grid; each cell in the radar occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region represented by the cell is occupied by an object. 13. The system according to claim 9 wherein the laser occupancy grid is a three-dimensional grid; each cell in the laser occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region in the grid is occupied by an object and; wherein the radar occupancy grid is a three-dimensional grid; each cell in the radar occupancy grid containing a probability with a range from 0 to 1 that a respective spatial region in the grid is occupied by an object. 14. The system according to claim 9 further comprising: a definer for defining an object representation for the object in the first zone and the object in the second zone, where the object represents a single object. 15. The system according to claim 14 further comprising: a characterization module for characterizing the object as a trunk, a limb, or another tree portion based on the defined object representation. 16. The system according to claim 9 further comprising: a definer for defining an object representation for the object in the first zone; the definer comprising a boundary definition module for defining a boundary of the object from the composite evidence grid and a dimension estimator for estimating at least one dimension associated with the defined boundary. 17. A method of detecting an object, the method comprising: transmitting a laser transmission at a known angular orientation over a first frequency range in a first zone; receiving a reflection of the laser transmission from an object in the first zone to determine laser range data associated with points on the object for known angular orientation data; processing the laser observed data to form a laser occupancy grid for the first zone; transmitting a radar transmission at a known angular position over a second frequency range in a second zone that overlaps with the first zone; receiving a reflection of the radar transmission from an object in the second zone to determine radar range data associated with points on the object for the known angular position data; processing the radar range data and corresponding known angular position data to form a radar occupancy grid for the second tone; and evaluating the radar occupancy grid and the laser occupancy grid to produce a composite evidence grid for at least an overlapping region defined by the first zone and the second zone. 18. The method according to claim 17 further comprising: applying a first data processing technique in accordance with Bayes law to the observed laser data associated with different corresponding sample times to determine a laser occupancy grid; and applying a second data processing technique in accordance with Bayes law to the observed radar data associated with different corresponding sample times to determine a temporal radar occupancy grid. 19. The method according to claim 18 wherein the probability levels of the laser occupancy grid are determined in accordance with the following equation: is the probability that cell (i,j) is in a state l over a time frame representing a group of samples at corresponding times m1 through mt, where pm,|li,j is the probability of obtaining the sample mt, given that the cell (i,j) is in the state li,j, where pli,j|mt-1, . . . , m0 is the probability of observing the cell (i,j) in state li,j over the time frame representing a group of samples from mt-1 until mo, and where p (mt) is a normalization factor or the probability of obtaining the sample at time mt. 20. The method according to claim 18 wherein the probability levels of the radar occupancy grid are determined in accordance with the following equation: is the probability that cell (i,j) is in a state r over a time frame representing a group of samples at corresponding times m1 through mt, where pmt|ri, j is the probability of obtaining the sample mt, given that the cell (i,j) is in the state ri, j, where pri,j|mt-1, . . . , m0 is the probability of observing the cell (i,j) in state ri,j over the time frame representing a group of samples from mt-1 until mo, and where p (m t) is a normalization factor or the probability of obtaining the sample at time mt. 21. The method according to claim 18 wherein the evaluating comprises applying a third data processing technique in accordance with Bayes law with respect to the laser occupancy grid and the radar occupancy grid to form a composite evidence grid for an overlapping region defined by an intersection of the first zone and the second zone. 22. The method according to claim 21 wherein the composite occupancy grid or precursor to the composite evidence grid is determined by the following equation: is the probability that cell (i,j) of the composite occupancy grid is in a state c (e.g., occupied empty or unknown) given the laser probability grid is in state li,j and given the radar occupancy grid is in state ri,j, where p(ci,j) is the probability of obtaining that cell (i,j) is in the state ci,j, where pli,j,ri,j|ci,j is the probability of observing the cell (i,j) of the laser occupancy grid in state l and of the radar probability grid in state r, given that the composite occupancy grid is in state c, and where p(li,j,ri, j) is the probability of obtaining the entries in cell (i,j) of the laser occupancy grid in state l and of the radar occupancy grid in state r. 23. The method according to claim 17 further comprising transforming probability levels of the cells of the laser occupancy grid for a non-overlapping region within the first zone to form an addendum evidence grid; and combining the addendum evidence grid to the composite evidence grid to form an augmented evidence grid.