A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.

A front hood assembly for a vehicle including a front grille may include a sensory assembly, a bumper assembly positioned adjacent to the front grille, and an energy absorber structure. The bumper assembly may include a bumper reinforcement having a front face and a top face, which front face is disposed below and extends away from the top face. The energy absorber structure may be positioned adjacent to the top face of the bumper reinforcement. The energy absorber structure may be rearwardly compliant in an impact direction and disposed below and rearwardly of the sensory assembly such that an impact of the sensory assembly with the energy absorber structure in the impact direction collapses the energy absorber structure rearwardly.

A front hood assembly for a vehicle including a front grille may include a sensory assembly, a bumper assembly positioned adjacent to the front grille, and an energy absorber structure. The bumper assembly may include a bumper reinforcement having a front face and a top face, which front face is disposed below and extends away from the top face. The energy absorber structure may be positioned adjacent to the top face of the bumper reinforcement. The energy absorber structure may be rearwardly compliant in an impact direction and disposed below and rearwardly of the sensory assembly such that an impact of the sensory assembly with the energy absorber structure in the impact direction collapses the energy absorber structure rearwardly.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on analysis of the images, first and second estimated positions of the target vehicle within the time period; determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.

The disclosure provides an early notification system to alert a driver of an approaching unsafe autonomous or semi-autonomous driving zone so that a driver may switch vehicle to a non-autonomous driving mode and navigate safely through the identified location. In response, to a determination of an upcoming unsafe autonomous or semi-autonomous driving zone, the driver or system may take appropriate actions in response to the early notification.

The disclosure provides an early notification system to alert a driver of an approaching unsafe autonomous or semi-autonomous driving zone so that a driver may switch vehicle to a non-autonomous driving mode and navigate safely through the identified location. In response, to a determination of an upcoming unsafe autonomous or semi-autonomous driving zone, the driver or system may take appropriate actions in response to the early notification.

An agent apparatus includes an agent, an impact detection processor, an occupant information acquisition unit, a vehicle information acquisition unit, a surrounding-environment information acquisition unit, and an agent control unit. The agent is disposed visually recognizable from an outside of a vehicle. The impact detection processor detects an impact on the vehicle. The occupant information acquisition unit acquires, if the impact is detected, occupant information regarding a state of an occupant of the vehicle. The vehicle information acquisition unit acquires, if the impact is detected, vehicle information regarding a state of the vehicle. The surrounding-environment information acquisition unit acquires surrounding-environment information regarding a surrounding environment of the vehicle. The agent control unit is configured to cause the agent to operate on the basis of any of the occupant information, the vehicle information, and the surrounding-environment information and thereby send information toward a surrounding region of the vehicle.

An agent apparatus includes an agent, an impact detection processor, an occupant information acquisition unit, a vehicle information acquisition unit, a surrounding-environment information acquisition unit, and an agent control unit. The agent is disposed visually recognizable from an outside of a vehicle. The impact detection processor detects an impact on the vehicle. The occupant information acquisition unit acquires, if the impact is detected, occupant information regarding a state of an occupant of the vehicle. The vehicle information acquisition unit acquires, if the impact is detected, vehicle information regarding a state of the vehicle. The surrounding-environment information acquisition unit acquires surrounding-environment information regarding a surrounding environment of the vehicle. The agent control unit is configured to cause the agent to operate on the basis of any of the occupant information, the vehicle information, and the surrounding-environment information and thereby send information toward a surrounding region of the vehicle.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.