A calculation apparatus includes a control unit configured to calculate a necessary distance that is necessary for a vehicle to perform lane change from a first travel lane to a second travel lane by combining a first distance that the vehicle travels while the vehicle waits to start the lane change, a second distance that the vehicle travels while a speed of the vehicle is adjusted, and a third distance that the vehicle travels while executing the lane change.

A mild hybrid vehicle controlling method, wherein the mild hybrid vehicle has a driver assistance module for detecting peripheral vehicle information and a mild hybrid starter & generator (MSHG) may comprises comparing, by a controller, the peripheral vehicle information with a predetermined reference value and deciding whether after-treatment regeneration control is performed or not according to a result of the comparison.

Controlling a prime mover of a first vehicle following a first path is based, at least in part, on a likely speed behaviour of a second vehicle ahead of the first vehicle, which is estimated based on a predicted path of the second vehicle. At least one coasting profile for the first vehicle is estimated for at least part of the first path and/or the predicted path. At least one of the coasting profiles is determined that meets at least one predetermined coasting requirement. The prime mover may be controlled to place the vehicle into a coasting mode based on the determined coasting profile. Alternatively, feedback is provided to a user to put the vehicle into a coasting mode.

The use of predefined (pre-built) graphical representations of roads for autonomous driving of vehicles and display of route planning.

The present invention relates to a method of generating and using a new data set for a novel technique of autonomous vehicle driving and route planning display using a predefined graphic representation/definition/illustration of the vehicle surroundings, in combination with the actual view sighted and captured by video cameras from the vehicle (for example, a dashboard camera). This method is primarily based on the use of the predefined graphic representation of the actual visual scene that is sighted from a host vehicle on roads at known GPS locations.

The main feature of this disclosure is the use of a predefined and simplified graphic illustration of the actual view experienced from vehicles on roads. This data is prepared in advance, stored in a cloud-based facility, and can be accessed by any vehicle.

The method comprises at least one video camera mounted in the vehicle, a module for accessing the predefined graphic visualization of the road and its surroundings, a module for defining the exact position and direction of the host vehicle on the predefined graphic view of the road, based on the use of GPS in combination with the identification of the surrounding characteristics of the road, a module continuously aligning the graphic view with the real view filmed by the video camera and for displaying the graphic visualization of the real view filmed by a forward facing camera.

The present invention relates to a new method for generating data that can be used in the vehicle's autopilot and for displaying route planning.

Numerous variations and modifications of the invention may be considered other than those described herein without departing from the spirit and scope of the present invention. This invention should not be limited by the specific details described herein.

A method and system for determining lane change feasibility for autonomous vehicles is disclosed. The method includes the steps of tracking, in each frame, at least one neighboring vehicle from a plurality of neighboring vehicles in a current lane being used by the AV and in a plurality of adjacent lanes. The method further includes determining, in each frame, a set of kinematic parameters associated with each of the at least one neighboring vehicle, and assigning an occupancy state from a plurality of occupancy states to each of a plurality of voxels capturing a spatial information for each of the plurality of neighboring vehicles. The method may further includes determining an effective occupancy probability for each of the plurality of adjacent lanes, and determining feasibility of lane change for the AV to at least one adjacent lane from the plurality of adjacent lanes.

A vehicle-based safety intervention system receives sensor data collected or generated by an onboard computing system of a vehicle. The sensor data is divided into a plurality of blocks, each of the blocks having a duration. A driver behavioral model is applied to one or more of the plurality of blocks to generate one or more driver behavioral parameters. A trend of the one or more driver behavioral parameters is extracted from the plurality of blocks. Based on the extracted trend, it is determined that a driver's performance when operating the vehicle is unsatisfactory or will be unsatisfactory in the future. A vehicle-based intervention is generated based on the determination that the driver's performance is unsatisfactory or will be unsatisfactory in the future.

Techniques for vehicle deceleration planning are discussed. The techniques include determining a first location and a first velocity of a vehicle. The techniques further include determining a second location and a second velocity of an object. Based on the first location, the second location, the first velocity, and the second velocity, a relative stopping distance between the vehicle and the object can be determined. If the relative stopping distance is less than a threshold distance, the first maximum deceleration value can be increased to a second maximum deceleration value, and the techniques determine a trajectory for the vehicle based at least in part on the second maximum deceleration value.

A controlling and warning system based on traffic conditions feedback and a method thereof are disclosed. In the controlling and warning system, a camera disposed on a rear of a vehicle body is configured to generate and transmit a rear video to a controlling host, and the controlling host identifies a vehicle object in the rear video and calculates a separation distance between the vehicle object and the vehicle body; the vehicle object is inputted into a large-sized vehicle recognition model which is built based on artificial intelligence neural network and trained completely, to recognize whether the vehicle object is a large-sized vehicle; when the vehicle object is recognized as the large-sized vehicle and the separation distance reaches to a safe distance, a warning signal is generated. Therefore, the technical effect of improving the warning immediacy of an approaching large vehicle can be achieved.

A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

A control system (10) is suitable for use in one's own motor vehicle (12) and is configured and intended to use the environmental data provided to determine a position and a speed of a first motor vehicle (28) which is traveling directly ahead of one's own motor vehicle (12) in a first Lane (36), wherein one's own motor vehicle (12) is in the said lane (36). Furthermore, the control system is at least configured and intended to determine a position and a speed of a second motor vehicle (30) which is traveling in a lane (38) adjacent to the first lane (36) from the environmental data provided. Furthermore, the control system is configured and intended to detect from the environmental data provided whether there is a zipper situation. The control system is configured and intended to increase a target distance of one's own motor vehicle (12) to the first motor vehicle, if an amount of a relative speed of the second motor vehicle (30) relative to one's own motor vehicle (12) or relative to the first motor vehicle (28) is less than a predetermined first value, if the second motor vehicle (30) is located between one's own motor vehicle (12) and the first motor vehicle (28) in a longitudinal direction which extends along the adjacent lane (38), and if it was detected that the zipper situation applies.