When a collision avoidance target is a pedestrian or a bicycle, a driving assistance ECU performs automatic braking control. In this case, accelerator override cannot be performed. When the collision avoidance target is an automobile and when an accelerator operation amount is equal to or larger than a first operation amount threshold, the driving assistance ECU prohibits the automatic braking control. In this case, the accelerator override can be performed. When the accelerator operation amount is smaller than the first operation amount threshold, the driving assistance ECU performs the automatic braking control.

Systems and methods for limiting driver distraction, such as improving (e.g., maintaining) driver attention to driving when driving distractions are detected, are provided. A system may include at least one sensor for determining an attention of a driver on a travel path and an interface module configured to reengage attention of the driver on the travel path. An image capturing device may detect an environment surrounding the vehicle. A logic device may determine whether the environment surrounding the vehicle includes an external distraction or whether the driver is distracted by an internal distraction. The at least one sensor may monitor the driver for a distracted behavior. The driver may be required to take an action when a distraction is determined. For example, the driver may interact with a driver monitoring system to verify reengagement to driving (e.g., by identifying a second vehicle on the roadway).

Disclosed herein are a vehicle control system and method. According to an aspect of the present disclosure, the vehicle control method includes detecting an electric mobility vehicle around a host vehicle to control an inter-vehicle distance between the host vehicle driven by a driver and the electric mobility vehicle, upon detecting the electric mobility vehicle, determining whether the electric mobility vehicle is present in a region of interest, and controlling the host vehicle to maintain a target inter-vehicle distance to the electric mobility vehicle.

To operate an autonomous vehicle, a rail agent is detected in a vicinity of the autonomous vehicle using a detection system. One or more tracks are determined on which the detected rail agent is possibly traveling, and possible paths for the rail agent are predicted based on the determined one or more tracks. One or more motion paths are determined for one or more probable paths from the possible paths, and a likelihood for each of the one or more probable paths is determined based on each motion plan. A path for the autonomous vehicle is then determined based on a most probable path associated with a highest likelihood for the rail agent, and the autonomous vehicle is operated using the determined path.

A vehicle control apparatus is provided. The vehicle control apparatus can obtain periphery information of a vehicle and perform following control including steering and acceleration/deceleration of the vehicle. In a case in which a front vehicle which is to be a following target does not satisfy a specific condition not including a speed condition, the vehicle control apparatus performs at least one of: lowering an automation level; and requesting a driver of the vehicle to perform a predetermined task which is not requested to the driver in a case in which the front vehicle satisfies the specific condition.

The present disclosure relates to a robot provided in a vehicle capable of performing a function related to the vehicle. The robot includes a body, a head positioned above the body, an actuator configured to apply an external force to allow the head to move relative to the body, a camera disposed on the head to capture an image, a communication unit configured to perform communications with one or more devices provided in the vehicle, and a processor configured to control the actuator so that the camera is directed toward an inside or outside of the vehicle based on information received via the communication unit.

A LIDAR system includes a plurality of LIDAR units. Each of the LIDAR units includes a housing defining a cavity. Each of the LIDAR units further includes a plurality of emitters disposed within the cavity. Each of the plurality of emitters is configured to emit a laser beam. The LIDAR system includes a rotating mirror and a retarder. The retarder is configurable in at least a first mode and a second mode to control a polarization state of a plurality of laser beams emitted from each of the plurality of LIDAR units. The LIDAR system includes a polarizing beam splitter positioned relative to the retarder such that the polarizing beam splitter receives a plurality of laser beams exiting the retarder. The polarizing beam is configured to transmit or reflect the plurality of laser beams exiting the retarder based on the polarization state of the laser beams exiting the retarder.

An autonomous vehicle includes a detection system for identifying the presence of authorities or emergency vehicles on a road, such as law enforcement vehicles, fire engines, fire trucks, police officers, first responders, traffic cones, flares, etc. The detection system may include audio and visual detection system dedicated to the detection of authorities. Additionally, systems that correlate the detected authorities and/or any audible or visual instructions given by the authorities to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected authorities or emergency vehicles by determining a driving related operation to safely operate around the detected authorities or emergency vehicles.

Disclosed are devices, systems and methods for an audio assistant in an autonomous or semi-autonomous vehicle. In one aspect the informational audio assistant receives a first set of data from a vehicle sensor and identifies an object or condition using the data from the vehicle sensor. Audio is generated representative of a perceived danger of an object or condition. A second set of data from the vehicle sensor subsystem is received and the informational audio assistant determines whether an increased danger exists based on a comparison of the first set of data to the second set of data. The informational audio assistant will apply a sound profile to the generated audio based on the increased danger.

A safety system for a vehicle may include one or more processors configured to determine uncertainty data indicating uncertainty in one or more predictions from a driving model during operation of a vehicle; change or update one or more of the driving model parameters to one or more changed or updated driving model parameters based on the determined uncertainty data; and provide the one or more changed or updated driving model parameters to a control system of the vehicle for controlling the vehicle to operate in accordance with the driving model including the one or more changed or updated driving model parameters.