A vehicle control system includes first and second control apparatus for controlling a vehicle and a power supply. Each apparatus includes a detection unit for detecting a surrounding situation of the vehicle, and a driving control unit for executing automated driving control. The power supply includes a first power supply for supplying power to the first control apparatus, and a second power supply for supplying power to the second control apparatus.

A method is disclosed for improving the permissiveness of a vehicle designed to operate within an operational design domain (“ODD”) where the vehicle has an autonomous vehicle control system capable of collecting sensor data. The method, which can be incorporated into a system or into instructions placed on storage media, includes partitioning the ODD into subsets (“micro-ODDs”) that relate to different operational situations and creating safety envelopes for those subsets. The safety envelopes are used to keep the vehicle operating safely and can be optimized to improve permissiveness of the vehicular operation.

The present invention relates to an autonomous driving control apparatus and an autonomous driving control method, and an exemplary embodiment of the present invention provides the autonomous driving control apparatus including: a driver seating sensor configured to recognize whether or not the driver is seated; a driver monitoring device configured to recognize whether a driver is looking ahead; and a processor configured to determine whether control authority is switchable for activating an autonomous driving control function based on sensing results of the driver seating sensor and the driver monitoring device.

According to various embodiment, described herein are methods and systems for reliably detecting malfunctions in a variety of software or hardware components in an autonomous driving vehicle (ADV). In one embodiment, a redundant system can be provided on an independent computing device in an ADV to check for malfunctions in a number of software or hardware components. When no malfunction occurs in the ADV, an autonomous driving system (ADS) in the ADV operates to drive the ADV, while the redundant system can monitor the ADS in a standby mode. In the event of a malfunction, the redundant system can take over the control of the ADV, and take appropriate actions based on a severity level of the malfunction.

Systems and methods for a moveable cover panel of an autonomous vehicle is provided. A vehicle can include a front panel disposed proximate to the front end of the passenger compartment, a vehicle motion control device located at the front panel, and a cover panel located at the front panel. The cover panel moveable relative to the front panel between an isolating position and an exposing position. The cover panel can isolate the vehicle motion control device from the passenger compartment when in the isolating position and expose the vehicle motion control device to the passenger compartment when in the exposing position. A method can include obtaining vehicle data identifying an operational mode, state, and/or status of the vehicle, determining a first position of the cover panel, and initiating a positional change for the cover panel based on the vehicle data and the first position.

Techniques to characterize driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. The scenarios may be characterized using a tree-based or tensor-based approach.

A vehicle is provided to avoid a collision with a target object located in front of the vehicle by predicting an expected traveling path of the target object. The vehicle also predicts the possibility of a collision with the target object.

The present technology relates to an information processing apparatus, an information processing method, a moving object, and a vehicle that enable the situation of another moving object around a moving object to be accurately grasped. An information processing apparatus includes: a moving object detection unit that detects another moving object around a moving object; and a moving object group detection unit that detects a moving object group including two or more of the other moving objects on the basis of one or more of a position, speed, and movement direction of the other moving object. The present technology can be applied to, for example, a system that controls automatic driving of a vehicle.

An example operation includes one or more of traveling, by a first transport, in a first lane, determining, by the first transport, that a speed of a second transport is greater than a speed of the first transport when the second transport is behind the first transport, determining, by the first transport, that no other transports are ahead of the first transport by a first distance in the first lane and beside the first transport by a second distance in a second lane, maneuvering, by the first transport, to the second lane allowing the second transport to pass the first transport in the first lane, and maneuvering, by the first transport, to the first lane when there are no other transports traveling in the first lane at a third distance behind the first transport and at or near the speed of the second transport.

An autonomous controller, a system including the same, and a method thereof include a processor that detects a target object attempting to cut in at a low speed during autonomous driving and that performs response control. The controller, system, and method include a storage storing data and an algorithm for detecting the target object and performing the response control. The processor calculates a final distance value on the basis of a point tracking a distance between a host vehicle and the target object and compares the final distance value with a predetermined threshold to determine whether the target object cuts in.