Provided are methods for localization functional safety, which can include systems, methods, and computer program products are also provided. In examples, a method includes applying a transform to a source point cloud and calculating a second metric based on the application of the transform to the source point cloud and a map at a higher ASIL level. A first metric is determined based on a localization function that executes at a lower ASIL level. A deviation between a first metric and the second metric, is determined wherein the vehicle localization is validated when the deviation is less than a predetermined threshold.

Provided is a method for evaluating a performance of an autonomous driving algorithm performed by one or more processors, including determining a first parameter set and a second parameter set which are associated with a driving of an ego vehicle in which the autonomous driving algorithm is applied and a driving of a surrounding vehicle, based on a collision scenario between the ego vehicle and the surrounding vehicle, generating a plurality of cases associated with the collision scenario based on the first parameter set and the second parameter set, and performing a simulation for each of the plurality of cases using the autonomous driving algorithm, in which each parameter of the first parameter set has a fixed value, and each parameter of the second parameter set has a predetermined sweeping range.

A method for changing a control authority of an autonomous vehicle in consideration of an external environment includes determining a first risk level of a physical condition of a driver who drives the autonomous vehicle, determining a second risk level in response to one of a mental condition or a conscious condition of the driver, determining a driver proficiency level of a driver, and allocating a control authority of the autonomous vehicle to the driver or to the autonomous vehicle according to a result of a determination of the first risk level, the second risk level, and the driver proficiency level.

Disclosed herein are system, method, and computer program product embodiments for determining objects that are kinematically capable, even if non-compliant with rules-of-the-road, of affecting a trajectory of a vehicle. The computing system (e.g., perception system, etc.) of a vehicle may generate a trajectory for the vehicle and a respective trajectory for each object of a plurality of objects within a field of view (FOV) of the sensing device associated with the vehicle. The computing system may identify objects of the plurality of objects with trajectories that intersect the trajectory for the vehicle and remove from such objects, objects with trajectories that at least one of exit the FOV or intersect with other objects of the plurality of objects within the FOV. The computing system may select, from remaining objects with trajectories that intersect the trajectory for the vehicle, objects with trajectories that indicate a respective collision between the object and the vehicle and assign a severity of the respective collision.

Autonomous driving system methods and devices which trigger vehicular actions based on the monitoring of one or more occupants of a vehicle are presented. The methods, and corresponding devices, may include identifying a plurality of features in a plurality of subsets of image data detailing the one or more occupants; tracking changes over time of the plurality of features over the plurality of subsets of image data; determining a state, from a plurality of states, of the one or more occupants based on the tracked changes; and triggering the vehicular action based on the determined state.

Disclosed are techniques for improving an advanced driver-assistance system (ADAS) using a secure channel area. In one embodiment, a method is disclosed comprising establishing a secure channel area extending from at least one side of a first vehicle; detecting a presence of a second vehicle in the secure channel area; establishing a secure connection with the second vehicle upon detecting the presence; exchanging messages between the first vehicle and the second vehicle, the messages including a position and speed of a sending vehicle; taking control of a position and speed of the first vehicle based on the contents of the messages; and releasing control of the position and speed of the first vehicle upon detecting that the secure connection was released.

A method for controlling switching of steering control rights of an autonomous vehicle, may include: performing a control to synchronize a steering angle of a steering wheel and a steering angle of a road wheel, when switching of the steering control rights from an automated driving mode to a manual driving mode is requested. The method further includes: detecting an error value between the steering angle of the steering wheel and the steering angle of the road wheel, when a hands-on state in which the steering wheel is gripped is detected in the synchronization process. In addition, the method further includes: performing a control to switch the mode of the autonomous vehicle to the manual driving mode, when the error value is less than a preset value.

A mobile object control method including: recognizing physical objects near a mobile object and a route shape; generating a target trajectory based on a result of the recognition and cause the mobile object to travel autonomously along the target trajectory; and determining that an abnormality has occurred in a control system for causing the mobile object to travel autonomously by performing the recognition when a time period from a timing when a degree of deviation between a reference target trajectory determined by the route shape and serving as a reference for generating the target trajectory and a position of the mobile object is greater than or equal to a predetermined degree to a timing when the degree of deviation is less than the predetermined degree is greater than or equal to a first predetermined time period and output a determination result.

In one or more embodiments, a method comprises receiving, at a processor, an input signal from an input device in response to a first actuation of the input device by a driver of an autonomous vehicle. The input device is a device disposed with the autonomous vehicle and has a second actuation of the input device associated with a standard operation of the input device. The second actuation has an actuation pattern different from an actuation pattern of the first actuation. In response to the input signal, a determination is made by the processor to determine whether the autonomous vehicle can perform a maneuver safely. In response to determining that the autonomous vehicle can perform the maneuver safely, a signal is sent by the processor to cause the autonomous vehicle to perform the maneuver.

The invention relates to a control device for a driver assistance system, wherein the control device comprises a sensor interface via which the control device can be connected to at least one sensor module to receive data from the at least one sensor module, a power processor which is adapted to detect objects and to provide object data based on the data from the at least one sensor module, and a system interface via which the control device can be connected to a higher-level control device of the driver assistance system for forwarding object data provided by the power processor.