In one embodiment, a system is disclosed for registration of point clouds for autonomous driving vehicles (ADV). The system receives a number of point clouds and corresponding poses from ADVs equipped with LIDAR sensors capturing point clouds of a navigable area to be mapped, where the point clouds correspond to a first coordinate system. The system partitions the point clouds and the corresponding poses into one or more loop partitions based on navigable loop information captured by the point clouds. For each of the loop partitions, the system applies an optimization model to point clouds corresponding to the loop partition to register the point clouds. They system merges the one or more loop partitions together using a pose graph algorithm, where the merged partitions of point clouds are utilized to perceive a driving environment surrounding the ADV.

Embodiments of methods and systems related to operating a mobile asset are provided. In one example, a method for operating a mobile asset includes supplying an engine with a fuel controller a first amount of a first fuel and a second amount of a second fuel and combusting the first fuel and the second fuel at a fuel combustion ratio in at least one cylinder of the engine, the first amount and the second amount being selected based on route information for a route along which the mobile asset is operable to travel and a projected exhaustion of the first fuel that does not precede a projected exhaustion of the second fuel, wherein the mobile asset is unable to operate with the second fuel alone.

A power management system includes a sensor interface that receives sensor data samples during operation of a vehicle. A storage device stores the sensor data samples for multiple points in time along a route segment traveled by the vehicle. One or more processors analyze the sensor data samples to detect a historical pattern of the vehicle. The one or more processors determine time efficient operational parameters for the vehicle in response to a destination and an estimated travel time to the destination. The estimated travel time may be based on predicted conditions of the vehicle indicated by the historical pattern. The time efficient operational parameters may be selected to decrease the estimated travel time. At least one of the sensor data samples may include telemetry data.

Disclosed is an apparatus and method for estimating a road profile for a vehicle. The apparatus includes a camera, processors, and a controller. The processors are configured to obtain a state of the vehicle including a behavior of the vehicle, and obtain a road height from information provided by the camera. The controller is configured to estimate the road profile by changing coordinates of the camera according to the behavior of the vehicle based on a vehicle height, compensating for the road height and a recognition road distance, and matching and filtering multiple road heights.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statutes for performing safe driving operation. Example embodiments relate to an autonomous vehicle having a trailer coupled to a rear thereof. An example method includes continuously predicting a trailer trajectory that is distinct from a planned trajectory of the autonomous vehicle. The method further includes determining that the predicted trailer trajectory is within a minimum avoidance distance away from a stationary vehicle located on a roadway on which the autonomous vehicle is located. The method further includes modifying the planned trajectory of the autonomous vehicle such that the predicted trailer trajectory satisfies the minimum avoidance distance. The method further includes causing the autonomous vehicle to navigate along the modified trajectory based on transmitting instructions to one or more subsystems of the autonomous vehicle.

A vehicle control device is configured to cause a vehicle to travel in a first mode when an enlargement mode is set, a driving force required for traveling of the vehicle is less than a value, and a capacity of a power storage is equal to or more than a first threshold, operate an internal combustion engine to cause the vehicle to travel in a second mode in response to the driving force becoming equal to or larger than the value when the enlargement mode is set and the vehicle is caused to travel in the first mode, and continue the enlargement mode when the capacity at a time when the driving force becomes equal to or more than the value is equal to or larger than a second threshold larger than the first threshold, and cancel the enlargement mode when the capacity is less than the second threshold.

The systems and methods described herein are related to terrain-based insights for advanced driver assistance systems (ADAS) in vehicles. Such terrain-based insights may be related to ADAS features such as adaptive cruise control, lane keep assist, automatic emergency braking, collision avoidance, and/or speed adaptation, among others.

A computer includes a processor and a memory storing instructions executable by the processor to receive data indicating a gaze direction of an occupant of the vehicle; determine whether the gaze direction is in a permitted area defined by a boundary, the permitted area being in a forward direction of travel of the vehicle; laterally adjust the boundary of the permitted area based on a speed of the vehicle and based on data indicating turning of the vehicle; and control the vehicle based on whether the gaze direction is in the permitted area.

When executing the autonomous lane change control of lane change of the subject vehicle from the subject vehicle lane in which the subject vehicle travels to adjacent lane, the autonomous lane change control is executed so as to accelerate the lateral speed of the subject vehicle in the subject vehicle lane and thereafter decelerate the lateral speed in the subject vehicle lane. As a result, it takes longer for the driver of the following vehicle to confirm the lateral movement of the preceding subject vehicle during the lane change of the subject vehicle from the start of the lane change than a lane change in which the lateral speed is decelerated in the adjacent lane. Therefore, it becomes easier to recognize the lane change.

A control unit of an information processing apparatus acquires the number of times of operations or an operation time of an operation unit provided in a vehicle at a time at which the operation unit has operated, acquires surroundings information around the vehicle at the time at which the operation unit has operated, and calculates a wear degree of the operation unit by multiplying a wear coefficient which corresponds to surroundings indicated by the acquired surroundings information by the acquired number of times of operations or operation time.