A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A driving support apparatus is provided with: a first controller programmed to perform a first control, which is to make a speed of a vehicle not to exceed a predetermined speed; a second controller programmed to perform a second control, which is a driving support control that is different from the first control; a preventer configured to prevent the second control on the basis of an operation of an accelerator by an occupant of the vehicle; and a prevention reducer configured to control the preventer to hardly prevent the second control if the first control is performed, in comparison with when the first control is not performed.

Methods and systems are provided for diagnosing an active grille shutter (AGS) system. In one example, a method may include indicating degradation of an AGS system of a vehicle based on an infrared image information obtained from a camera coupled to the vehicle and adjusting one or more engine operating parameters responsive to the indicating.

A driving support Electronic Control Unit (ECU) initializes a target trajectory calculation parameter at a start of Lane Change Assist Control (LCA), calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position in accordance with an elapsed time from the start of LCA; and calculates a target control amount according to the target trajectory function. When it is determined that the own vehicle has crossed a boundary white line, the driving support ECU again initializes the target trajectory calculation parameter, and calculate the target trajectory function based on the target trajectory calculation parameter.

A refuse vehicle includes a chassis coupled to a wheel and having a first portion and a second portion, an energy storage system supported by the chassis, a drive motor coupled to the wheel and configured to receive electrical energy from the energy storage system and provide rotational mechanical energy to the wheel, a cab supported by the first portion of the chassis, a refuse compartment supported by the second portion of the chassis, a suspension supported by the cab, a seat supported within an interior of the cab, an armrest arranged proximate to the seat and having control console with a joystick, and an armrest adjustment assembly coupled to the armrest and configured to adjust a height of the armrest relative to the seat. The suspension supports the seat and the armrest so that a position of the armrest relative to the seat is maintained.

A refuse vehicle includes a controller having a processor and at least one memory. The controller is in communication with a control console on a first side of a cab and a control console on a second side of a cab. The controller is configured to detect a presence of an operator in a seat on the first side or a seat on the second side based on a signal from a camera, a weight sensor, or an ignition, and in response to detecting the presence of an operator on the first side of the cab, enable a vehicle operator interface of the control console on the first side and disable a vehicle operator interface of the control console on the second side.

A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A three-dimensional display device comprises a display panel, a parallax barrier, an acquisition section, a memory, and a controller. The display panel displays a parallax image and emit image light corresponding to the parallax image. The acquisition section successively acquires a plurality of pieces of positional data indicating user's eye positions from a detection device which detects eye positions based on photographed images which are successively acquired from a camera which images user's eyes at imaging time intervals. The memory stores pieces of positional data which are successively acquired by the acquisition section. The controller is configured to output predicted eye positions of the eyes as of a time later than the current time based on the positional data pieces stored in the memory, and cause each of subpixels of the display panel to display the parallax image, based on the predicted eye positions.