Mitsubishi Electric Corporation

Mazda Motor Corporation

Non-grid Inc.

Masanori Mori

Koji Iida

Noriyoshi Yamashina

Shinichi Tateiwa

Hideaki Tamazumi

Tomohiro Akiyama

Hiroshi Koike

Takayuki Moritani

Yoshihiro Yamamoto

Junki Tamaru

Hiroyuki Ueda

Noriko Matsumoto

An object recognition device of the present invention includes: an object detection unit which detects, as an object, a thing present around a sensor platform; a processing target object storage unit which stores the object as a processing target object, with a number there of being an upper limit value or smaller; and an object processing unit which, in a case where the processing target objects whose number is the upper limit value are stored, selects an object having a lowest evaluation value among the stored processing target objects whose number is the upper limit value, determines one object of the selected processing target object and an object newly detected by the object detection unit, and stores the determined object as the processing target object in the processing target object storage unit.

Object recognition device and object recognition method

Provided is an object recognition device including a temporary setting unit and an update processing unit. The temporary setting unit sets, based on specifications of an external information sensor that has detected an object, a position of at least one candidate point on the object. The update processing unit corrects a position of a detection point with respect to the external information sensor at a time when the external information sensor has detected the object based on the position of the candidate point on the object, and updates track data indicating a track of the object based on a position of the detection point with respect to the external information sensor after the correction.

Object recognition device and object recognition method based on angle and distance resolution of a sensor

An object recognition device is configured to: classify, under a state in which not all object data in a detection data group have been received and a part of the object data have been received by a current processing time, the part of the object data into pieces regarded as ready for association determination and pieces not regarded as ready for the association determination, to thereby associate the object data regarded as ready for the association determination and the prediction data individually with each other and set, as pending object data, the object data not regarded as ready for the association determination; and associate, under a state in which the remaining object data in the detection data group have been received by the next processing time after the current processing time, the remaining object data and the pending object data individually with the prediction data.

There are provided an object recognition apparatus that raises the recognition accuracy for a surrounding object and a vehicle control apparatus, and an object recognition method and a vehicle control method. An object recognition apparatus receives object data, which is a state value of the object, from a first sensor for detecting a surrounding object; compares estimation data obtained through estimation of a state value of the object, based on recognition data calculated in a past period, with the object data, and determines whether or not the object data is data in a low-resolution state; then, in accordance with the determination result, calculates the state value of the object by use of object data and estimation data and then generates the state value as recognition data, so that the recognition accuracy for an object is raised.

Object recognition apparatus, vehicle control apparatus, object recognition method, and vehicle control method

An object recognition deviceincludes: a data reception unitthat creates observation data of respective sensorsin accordance with sensor's detection data of an object in the surroundings of a host vehicle; an association processing unitwhich, based on an association reference value, generates association data denoting a correspondence between the observation data and object data of a previous process cycle; and an updating processing unitwhich, based on the association data, updates a state vector included in the object data of the previous process cycle, and updates the object data by including latest association data being the observation data having corresponded to the object data most recently, wherein the association processing unitgenerates the association reference value using preferentially the latest association data of the same sensor as that of the observation data of a current process cycle.

Object recognition device, object recognition method and self-driving system

Provided are an object recognition device and the like configured to associate, for detected object data and detected ego vehicle data that are received from respective sensors in a period from a previous processing time to a current processing time, an object data time with each piece of the detected object data, and an ego vehicle data time with each piece of the detected ego vehicle data, predict the detected ego vehicle data at the object data time to generate a result of the prediction as corrected ego vehicle data, and predict updated object data at the object data time to generate a result of the prediction as predicted object data.

Object recognition device, object recognition method, and vehicle control system

Provided are an object recognition integration device and an object recognition integration method, which are capable of integrating pieces of detection data that are detected by a respective plurality of sensors in consideration of an inaccuracy of identification of objects. An association relationship between measurement data and previous object data is determined based on an object type and a certainty for each object type candidate contained in measurement data generated for each of the plurality of sensors, and an object type and a certainty for each object type candidate contained in the previous object data. Then, association data is generated by associating the measurement data and the previous object data, which are determined as having 'possibility of association', with each other, to thereby generate current object data by updating the previous object data with use of the association data.

Object recognition integration device and object recognition integration method

Provided is a parking assist apparatus capable of appropriately guiding a self-vehicle into a parking space even when accuracy of estimation of a corner position of each object located at a position adjacent to the parking space is low. Parking-space information, which is estimated by detecting the corner position of each of the objects sandwiching the parking space while the parking space is being searched, is sequentially corrected by using a reflection-point position on each of objects, which is detected while the self-vehicle is being guided into the parking space. Guiding assistance processing to the parking space is performed by using the corrected parking-space information.

Parking assist apparatus

An electronic mirroring system comprises a mirroring unit () consisted of a flat panel television () attached a touch panel (), a front video camera (), a rear video camera (), and a main unit (). A front image and a back image are displayed on the flat panel television () of the mirroring unit () simultaneously.

Growing community of inventors

Tokyo, Japan

Masanori Mori