An information processing apparatus according to one embodiment includes a memory having computer executable components stored therein; and processing circuitry communicatively coupled to the memory. The processing circuitry is configured to: acquire, for each of a plurality of sensors installed in a vehicle, positional information of an object present around the vehicle measured by the sensor; calculate a probability that the object is present for each of a plurality of areas obtained by dividing surroundings of the vehicle based on the positional information measured by the sensors; record non-measurement information indicating that the positional information was not obtained for an area corresponding to a direction in which the positional information was not obtained for each of the sensors; and determine a final probability that the object is present based on the probability calculated for each of the sensors and the non-measurement information.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An information processing apparatus comprising: a memory having computer executable components stored therein; and processing circuitry communicatively coupled to the memory, the processing circuitry configured to: acquire, for each of a plurality of sensors having different characteristics and installed in a vehicle, positional information of an object present around the vehicle measured by the sensor; calculate a probability that the object is present for each of a plurality of areas obtained by dividing surroundings of the vehicle based on, for each of the sensors, the positional information measured by the sensor; record non-measurement information indicating that the positional information was not obtained for an area corresponding to a direction in which the positional information was not obtained for each of the sensors; and determine a final probability of the probability that the object is present based on the probability calculated for each of the sensors and the non-measurement information recorded for each of the sensors. 2. The information processing apparatus according to claim 1, wherein the non-measurement information represents the number of times that the positional information was not obtained. 3. The information processing apparatus according to claim 2, wherein the determining determines a probability calculated based on the positional information of the sensor the number of times of which that the positional information was not obtained is least to be the final probability. 4. The information processing apparatus according to claim 2, wherein the determining performs weighted summation corresponding to the non-measurement information of the probability calculated for each of the sensors to determine the final probability. 5. The information processing apparatus according to claim 4, wherein the determining increases the weight of the probability calculated based on the positional information measured by the sensor for the sensor the number of times of which that the positional information was not obtained is less to determine the final probability. 6. The information processing apparatus according to claim 1, wherein the non-measurement information represents a time when the positional information was not obtained. 7. The information processing apparatus according to claim 6, wherein the determining determines a probability calculated based on the positional information of the sensor the number of times of which when the positional information was not obtained is least to be the final probability. 8. The information processing apparatus according to claim 6, wherein the determining reduces the weight of the probability calculated based on the positional information measured by the sensor for the sensor the number of times of which when the positional information was not obtained is larger and reduces the weight of the probability calculated based on the positional information measured by the sensor for the sensor the time of which when the positional information was not obtained is later to determine the final probability. 9. The information processing apparatus according to claim 1, wherein the processing circuitry is further configured to output information that is capable of identifying a contribution degree of the sensor that has measured the positional information used for calculation of the final probability. 10. An information processing apparatus comprising: a memory having computer executable components stored therein; and processing circuitry communicatively coupled to the memory, the processing circuitry configured to: acquire positional information, that is measured by a sensor installed in a vehicle, of an object present around the vehicle; first calculate a probability that the object is present for each of a plurality of areas obtained by dividing surroundings of the vehicle based on the positional information; record non-measurement information indicating that the positional information was not obtained for an area corresponding to a direction in which the positional information was not obtained; determine an attribute of each of the areas based on a taken image obtained by an imaging unit that images the surroundings of the vehicle; second calculate a probability that the object is present based on the attribute for each of the areas; and determine a final probability of the probability that the object is present based on the probability calculated at the first calculating, the probability calculated at the second calculating, and the non-measurement information. 11. An information processing method comprising: acquiring, for each of a plurality of sensors having different characteristics and installed in a vehicle, positional information of an object present around the vehicle measured by the sensor; calculating a probability that the object is present for each of a plurality of areas obtained by dividing surroundings of the vehicle based on, for each of the sensors, the positional information measured by the sensor; recording non-measurement information indicating that the positional information was not obtained for an area corresponding to a direction in which the positional information was not obtained for each of the sensors; and determining a final probability of the probability that the object is present based on the probability calculated for each of the sensors and the non-measurement information recorded for each of the sensors. 12. The method according to claim 11, wherein the non-measurement information represents the number of times that the positional information was not obtained. 13. The method according to claim 12, wherein the determining includes determining a probability calculated based on the positional information of the sensor the number of times of which that the positional information was not obtained is least to be the final probability. 14. The method according to claim 12, wherein the determining includes performing weighted summation corresponding to the non-measurement information of the probability calculated for each of the sensors to determine the final probability. 15. The method according to claim 14, wherein the determining includes increasing the weight of the probability calculated based on the positional information measured by the sensor for the sensor the number of times of which that the positional information was not obtained is less to determine the final probability. 16. The method according to claim 11, wherein the non-measurement information represents a time when the positional information was not obtained. 17. The method according to claim 16, wherein the determining includes determining a probability calculated based on the positional information of the sensor the number of times of which when the positional information was not obtained is least to be the final probability. 18. The method according to claim 16, wherein the determining includes reducing the weight of the probability calculated based on the positional information measured by the sensor for the sensor the number of times of which when the positional information was not obtained is larger and reducing the weight of the probability calculated based on the positional information measured by the sensor for the sensor the time of which when the positional information was not obtained is later to determine the final probability. 19. The method according to claim 11, further comprising outputting information that is capable of identifying a contribution degree of the sensor that has measured the positional information used for calculation of the final probability.