B60W2050/0062

PREFERENCE ADJUSTMENT OF AUTONOMOUS VEHICLE PERFORMANCE DYNAMICS
20190315342 · 2019-10-17 ·

Embodiments include methods, systems and computer readable storage medium for adjusting ride and/or performance dynamics of a passenger transport. The method receiving, by a processor, a transportation request. The method further includes assigning, by the processor, a passenger transport to fulfill the transportation request. The method further includes receiving, by the processor, at least one passenger profile, wherein the at least one passenger profile includes preferred ride and performance dynamics for a passenger. The method further includes adjusting, by the processor, one or more ride and performance dynamics for the passenger transport in response to the received at least one passenger profile. The method further includes transporting, by the passenger transport, one or more passengers associated with the transportation request to a destination.

Object tracking prior to and during a collision
10427677 · 2019-10-01 · ·

A method includes steps of detecting an object in an environment of a motor vehicle; in a first phase, tracking the object with respect to the motor vehicle with the aid of a first movement model of the motor vehicle; detecting a collision of the motor vehicle with an obstacle; and in a second phase, tracking the object with respect to the motor vehicle with the aid of a second movement model of the motor vehicle.

Navigation Based on Detected Response of a Pedestrian to Navigational Intent

The present disclosure relates to a navigation system for a host vehicle. The system may include a processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify at least one pedestrian in the environment of the host vehicle; cause at least one adjustment of a navigational system of the host vehicle to signal to the pedestrian a navigational intent of the host vehicle; analyze the plurality of images to detect a potential reaction of the pedestrian to the at least one adjustment of the navigational system of the host vehicle; determine a navigational action for the host vehicle based on a detected potential reaction of the pedestrian; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined navigational action for the host vehicle.

Combined slip-based driver command interpreter

A combined slip based driver command interpreter for a vehicle is provided which may be communicatively coupled to a steering wheel angle sensor, an acceleration pedal position sensor and a brake pedal position sensor, the combined slip based driver command interpreter including, but not limited to a memory configured to store a non-linear combined lateral slip model and a non-linear combined longitudinal slip model, and a processor, the processor configured to determine a driver's intended vehicle lateral velocity and a driver's intended vehicle yaw rate based upon the angle of the steering wheel, the position of the acceleration pedal, the position of the brake pedal, a longitudinal velocity of the vehicle, the non-linear combined lateral slip model and the non-linear combined longitudinal slip model.

SYSTEM AND METHOD FOR USING HUMAN DRIVING PATTERNS TO DETECT AND CORRECT ABNORMAL DRIVING BEHAVIORS OF AUTONOMOUS VEHICLES
20190270445 · 2019-09-05 ·

A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.

SAFETY AND PERFORMANCE FOR LOGIC DESIGN IN AUTONOMOUS VEHICLES
20240166241 · 2024-05-23 ·

The present disclosure provides a system and method that retrieves a plurality of logic blocks and a plurality of safety levels corresponding to the plurality of logic blocks. The system and method determines, by a processor, which of the plurality of logic blocks require one or more redundant logic blocks based on their corresponding safety level. The system and method produces a logic design based on the plurality of logic blocks and the one or more redundant logic blocks.

Method and device for the automated driving of a vehicle

A method for automated driving of a vehicle, comprising: provide function modules, wherein the function modules each comprise at least one subfunction for automated driving, and wherein the function modules are each assigned at least one module validity attribute that defines the context of the surroundings in which the particular function module is valid, provide at least one system configuration, wherein the at least one system configuration comprises at least one of the function modules, and wherein the at least one system configuration is assigned at least one configuration validity attribute that defines the context of the surroundings in which the at least one system configuration is valid, select one of the at least one system configurations, wherein the selection depends on a context of the surroundings and the at least one associated configuration validity attribute, control the vehicle, wherein controlling is based on the selected system configuration.

Self-learning-based interpretation of driver's intent for evasive steering

Evasive steering assist (ESA) systems and methods for a vehicle utilize a set of vehicle perception systems configured to detect an object in a path of the vehicle, a driver interface configured to receive steering input from a driver of the vehicle via a steering system of the vehicle, a set of steering sensors configured to measure a set of steering parameters, and a controller configured to determine a set of driver-specific threshold values for the set of steering parameters, compare the measured set of steering parameters and the set of driver-specific threshold values to determine whether to engage/enable an ESA feature of the vehicle, and in response to engaging/enabling the ESA feature of the vehicle, command the steering system to assist the driver in avoiding a collision with the detected object.

Dongles for controlling vehicle drive assist systems

Method and apparatus are disclosed for dongles for controlling vehicle drive-assist systems. An example vehicle includes an electronic control unit for performing an autonomous motive function, an OBD port configured to receive a dongle to communicatively couple to the dongle, and a driver-assist controller. The driver-assist controller is configured to receive instructions from the dongle when the vehicle is at a racing event location responsive to the OBD port receiving the dongle and deactivate the autonomous motive function when receiving the instructions.

Passenger Experience and Biometric Monitoring in an Autonomous Vehicle
20190225232 · 2019-07-25 ·

Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, vehicle data and passenger data can be received by a computing system. The vehicle data can be based on states of an autonomous vehicle and the passenger data can be based on states of one or more passengers of the autonomous vehicle. In response to the passenger data satisfying one or more passenger experience criteria, one or more unfavorable experiences by the one or more passengers can be determined to have occurred. The one or more passenger experience criteria can specify one or more unfavorable states associated with the one or more passengers. Passenger experience data can be generated based on the vehicle data and the passenger data at one or more time intervals associated with the one or more unfavorable experiences by the one or more passengers.