Patent classifications
G06G7/78
Vehicle control method thereof
A vehicle that includes: an input device that is configured to receive a user command from a user; and a controller that is configured to: obtain vehicle driving information, based on the vehicle driving information, control the vehicle to travel autonomously, determine whether the user command is inconsistent with the vehicle driving information, based on a determination that the user command is inconsistent with the vehicle driving information, determine to ignore the user command, in response to a determination to ignore the user command, control the vehicle based on the vehicle driving information without the user command, based on a determination that the user command is consistent with the vehicle driving information, determine to apply the user command, and in response to a determination to apply the user command, control the vehicle based on the vehicle driving information and the user command is disclosed.
Driver assistance method for detecting objects on the side
In a driver assistance method for a vehicle, to identify moving objects on the side and to avoid unnecessary collision warnings, the method includes: a) detecting an object with the aid of a first sensor; b) detecting the object with the aid of a second sensor; c) checking whether the object has left the detection area of the second sensor; and d1) discarding the distance data measured by the first sensor and the second sensor if the object has left the detection area of the second sensor; or d2) determining the position of the object from measured distance data if the object has not left the detection area of the second sensor.
Vehicle collision avoidance supporting apparatus and vehicle collision avoidance supporting method
After determination of from which side, right or left, a second vehicle is approaching, a position of a collision point is determined, a position of a stop point is set from the determined collision point, and a warning is given at a position and timing of a warning point which is set to allow a first vehicle to stop before the set stop point.
Vehicle system and method for activating hazard lights during battery disconnect events
A method according to an exemplary aspect of the present disclosure includes, among other things, activating hazard lights of an electrified vehicle in response to a high voltage battery disconnect event.
Lane marking localization and fusion
Various embodiments provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.
Terrain referenced navigation system with generic terrain sensors for correcting an inertial navigation solution
A terrain referenced navigation system for a vehicle is disclosed and includes an inertial measurement unit and one or more generic terrain sensors configured to collect terrain-dependent data. The terrain referenced navigation system includes one or more processors in electronic communication with the generic terrain sensors and the inertial measurement unit, and a memory coupled to the processors. The memory stores data into one or more databases and program code that, when executed by the processors, causes the terrain referenced navigation system to determine a predicted terrain value based on a terrain value, where the terrain value is retrieved from one or more sensor specific terrain databases. The pre-Kalman filter processing values are sent to a Kalman filter. The Kalman filter determines navigation corrections and sensor corrections based on the pre-Kalman filter processing values.
Thrust allocation using optimization in a distributed flight control system
Thrust values for motors in an aircraft are generated where each flight controller in a plurality of flight controllers generates a thrust value for each motor in a plurality of motors using an optimization problem with a single solution. Each flight controller in the plurality of flight controllers passes one of the generated thrust values to a corresponding motor in the plurality of motors, where other generated thrust values for that flight controller terminate at that flight controller. The plurality of motors perform the passed thrust values.
Systems and methods for generating flight paths for navigating an aircraft
In an example, a method of generating flight paths for navigating an aircraft is provided. The method includes hovering the aircraft at a predetermined hover point. The predetermined hover point corresponds to a first takeoff waypoint of a first trajectory of the aircraft. The method includes scanning at least a portion of a first flight path of the first trajectory. The method includes determining that an obstacle obstructs the first flight path of the first trajectory. The first flight path begins at the first takeoff waypoint. The method includes determining a second takeoff waypoint. Determining the second takeoff waypoint includes assigning the first flight path to begin at the second takeoff waypoint. The method includes changing the first flight path of the first trajectory in accordance with the second takeoff waypoint, thereby forming a second flight path of a second trajectory. The method includes causing the aircraft to follow the second flight path of the second trajectory from the second takeoff waypoint.
Lane marking localization
Various embodiments of the present disclosure provide a system and method for lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a camera; and a computer connected to the locating device, database, and camera, wherein the computer is adapted to: receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and generate a predicted vehicle location based on the comparison of the response map and the region map.
Lane marking localization and fusion
Various embodiments of the present disclosure provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.