The purpose of the present invention is to provide an object detecting device which is capable of accurately detecting an object even far away, and of shortening processing time. Provided is an object detecting device (100), comprising: a disparity acquisition unit (116) which compares each image of two cameras (112, 113) and computes a disparity for each pixel; a near-far boundary setting unit (118) which, in a single image of one of the two cameras, sets a boundary (Rb) between a near region (R1) which is close to a vehicle (110) and a far region (R2) which is distant from the vehicle (110); a near object detecting unit (119) which detects objects (102, 104) of the near region (R1) on the basis of the disparity; and a far object detecting unit (120) which detects objects (103, 104) of the far region (R2) on the basis of the single image.

A control apparatus for a hybrid vehicle determines a scheduled travel route. The control apparatus further determines a downhill section included in the scheduled travel route by using gradient information acquired for a road section at a time when the vehicle has traveled on the road section and using gradient information stored in a navigation database for a road section on which the vehicle travels for a first time. The control apparatus determines a section from a downhill control start point to an end point of the target downhill section as a downhill control section. The downhill control start point is a point located a predetermined first distance closer to the vehicle from a start point of the target downhill section. When the vehicle travels on the downhill control section, the control apparatus executes downhill control.

Systems and methods of deep neural network based parking assistance is provided. A system can receive data sensed by one or more sensors mounted on a vehicle located at a parking zone. The system generates, from a first neural network, a digital map based on the data sensed by the one or more sensors. The system generates, from a second neural network, a first path based on the three-dimensional dynamic map. The system receives vehicle dynamics information from a second one or more sensors located on the vehicle. The system generates, with a third neural network, a second path to park the vehicle based on the first path, vehicle dynamics information and at least one historical path stored in vehicle memory. The system provides commands to control the vehicle to follow the second path to park the vehicle in the parking zone.

In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.

In some examples, a controller determines a target condition of usage of a vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined target condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller transmits, to the vehicle, the selected parameter set to control a setting of the one or more adjustable elements of the vehicle.

A vehicle may include a controller configured to control the vehicle to operate in an active control mode or a passive control mode. In the passive control mode, the controller may provide a feedback indicator on a human machine interface. In the active control mode, the controller may provide a control command to an engine control unit.

A hybrid vehicle us equipped with a power generation first motor generator driven by an internal combustion engine, and a second motor generator driven by a battery. The hybrid vehicle includes an S mode, an ECO mode and a NORMAL mode which are basic travel modes. A mode change switch is used to switch between the modes. In the S mode and the ECO mode, a deceleration rate of regenerative braking on downhill roads is large, and an amount of regeneration is large. When a downhill road on a travel route has been predicted, in the S mode and the ECO mode, a controller executes an SOC reduction control in which an SOC is reduced in advance before a downhill road starts, and in the NORMAL mode, the controller does not execute the SOC reduction control.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

A traveling control section of a traveling vehicle is configured to effect a normal operation to control an output of an engine when a vehicle speed is below a set vehicle speed, such that the engine output may correspond to an operation amount of an accelerator operating tool and to effect an output suppressing operation when the vehicle speed is equals to or more than the set vehicle speed, such that the vehicle speed may stay below the set vehicle speed, irrespectively of the operation amount of the accelerator operating tool. A fuel ratio in an air-fuel ratio in the output suppressing operation is set smaller than a fuel ratio in an air-fuel ratio in the normal operation.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.