An automatic parking system configured to cause an autonomous vehicle to travel autonomously from a parking space to a pickup area based on a parking space departure time determined such that the autonomous vehicle arrives the pickup area at a scheduled pickup time that is predetermined. The automatic parking system includes an on-control time setting unit configured to set an on-control time at which a state of the autonomous vehicle is controlled to be a power-on state based on the parking space departure time, and a power-on control unit configured to control the state of the autonomous vehicle to be the power-on state based on the on-control time that is set. The on-control time setting unit is configured to set the on-control time such that the power-on state is established prior to the parking space departure time.

An automatic driving system includes a control device that controls automatic driving of a vehicle, and a storage device that contains external environment information indicating an external environment of the vehicle. A driving transition zone is a zone in which a driver of the vehicle takes over at least a part of driving of the vehicle, from the control device. A termination target velocity is a target velocity of the vehicle at an end point of the driving transition zone. The control device variably sets the termination target velocity, depending on the external environment at the end point or the external environment surrounding the end point. Then, the control device controls the velocity of the vehicle in the driving transition zone, such that the velocity of the vehicle at the end point is the termination target velocity.

A method and a device for operating an automated vehicle. The method includes a step of detecting surroundings data values, a step of determining positions and/or predicted movements of objects in the surroundings of the automated vehicle, a step of carrying out a first comparison of the surroundings data values and/or of the positions and/or of the predicted movements using an external server, a step of determining a driving strategy for the automated vehicle as a function of the positions and/or predicted movements of the objects and as a function of the first comparison, a step of carrying out a second comparison of the driving strategy using the external server, and a step of operating the automated vehicle as a function of the driving strategy and as a function of the second comparison.

An autonomous driving vehicle provides a driverless transportation service for a user. An alarming phenomenon is a natural phenomenon that potentially causes a disaster. The autonomous driving vehicle recognizes, based on driving environment information, the alarming phenomenon at a current location of the autonomous driving vehicle or on a planned travel route from the current location to a destination. When recognizing the alarming phenomenon, the autonomous driving vehicle determines whether to continue or halt vehicle travel control in accordance with a current travel plan. When determining to halt the vehicle travel control in accordance with the current travel plan, the autonomous driving vehicle sets an emergency plan depending on a type of the alarming phenomenon and controls the autonomous driving vehicle in accordance with the emergency plan.

The current disclosure provides techniques for using human driving behavior to assist in decision making of an autonomous vehicle as the autonomous vehicle encounters various scenarios on the road. For each scenario, a model may be generated based on human driving behavior that governs how an autonomous vehicle maneuvers in that scenario. As a result of using these models, reliability and safety of autonomous vehicle may be improved. In addition, because the model is programmed into the autonomous vehicle, the autonomous vehicle, in many instances, need not consume resources to implement complex calculations to determine driving behavior in real-time.

An autonomous driving system includes an electronic control unit. The electronic control unit is configured to suggest to a driver that a host vehicle overtake a preceding vehicle during autonomous driving, recognize whether the driver accepts a suggestion for the overtaking, when the electronic control unit recognizes that the driver accepts the suggestion, cause the host vehicle to overtake the preceding vehicle, and, when the electronic control unit recognizes that the driver rejects the suggestion, not cause the host vehicle to overtake the preceding vehicle, set a first prohibition duration, and, when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver rejects the suggestion, extend the first prohibition duration as compared to when the electronic control unit suggests to the driver that the host vehicle overtake the preceding vehicle and recognizes that the driver accepts the suggestion.

A vehicle having a control element for the speed, acceleration or direction of the vehicle, a computing device to generate a command in autonomous driving of the vehicle, and a command controller coupled between the control element and the computing device. In response to the command, the command controller initiates a test of a portion of the memory of the computing device. If the portion of the memory passes the test, the command controller forwards the command for execution via the control element of the vehicle; otherwise, the command controller blocks the command and/or issues a replacement command for the vehicle.

In one embodiment, a process is performed during controlling Autonomous Driving Vehicle (ADV). A confidence level associated with a sensed obstacle is determined. If the confidence level is below a confidence threshold, and a distance between the ADV and a potential point of contact with the sensed obstacle is below a distance threshold, then performance of a driving decision is delayed. Otherwise, the driving decision is performed to reduce risk of contact with the sensed obstacle.

A server device 2 stores a distribution map DB 21 including autonomous driving regulatory information Ir for regulating autonomous driving of a vehicle in a predetermined section, and sends map data D1 including the autonomous driving regulatory information Ir to a driving assistance device 1. Then, the driving assistance device 1 receives the map data D1 including the autonomous driving regulatory information Ir and controls the autonomous driving of the vehicle based on the received autonomous driving regulatory information Ir.

Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.