Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive suspension control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the road condition. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action after adjusting the suspension preemptively.

A modular electronic damping control system is described and includes a damping component located at a vehicle suspension location. The modular electronic damping control system also includes a control system configured to control the damping component, and determine the type of damping component present. Also, the control system is configured to automatically tune a vehicle's suspension based on the type of damping component present, and automatically monitor the damping component and determine when a change has been made to the damping component so that the control system can then automatically re-tune the vehicle's suspension based on the change to the damping component.

Methods and systems for autonomously delivering consumer items in disposable packages, in which the disposable package, with the consumer item inside, are carried under a wheel robot using a grabbing mechanism that holds the package under the wheel robot. The wheel robot straddles over the package to allow the grabbing mechanism access to the package during a loading process, and then straddles off the package at a delivery location after the grabbing mechanism releases the package with the consumer item inside. Releasing of the package can be done by lowering the package to the ground in a controlled manner, or by simply releasing the package above ground thereby dropping the package.

A modular electronic damping control system is described and includes a damping component located at a vehicle suspension location. The modular electronic damping control system also includes a control system configured to control the damping component, and determine the type of damping component present. Also, the control system is configured to automatically tune a vehicle's suspension based on the type of damping component present, and automatically monitor the damping component and determine when a change has been made to the damping component so that the control system can then automatically re-tune the vehicle's suspension based on the change to the damping component.

Provided is an electric suspension device including an electromagnetic actuator that is provided between a body and wheel of a vehicle and generates a load for damping vibration of the body. It includes: a camera that detects preview image information of a road surface in front of the vehicle; a 3D gyro sensor that detects a sprung speed of the vehicle; a target load computation unit that computes a target load based on the preview image information and the sprung speed; and a load control unit that controls the load of the actuator by using the computed target load. When a detection result based on the preview image information indicates that the front road surface is even but a detection result based on the sprung speed indicates that the front road surface is uneven, the target load computation unit computes the target load based on the sprung speed.

A control system for controlling motions of a vehicle having wheels is provided. The control system includes suspension units configured to support the wheels respectively driven by motors controlled by throttles, a set of sensors configured to detect the motions of the vehicle, wherein the motions are represented by lift, pitch, and roll values of the vehicle, an allocation module configured, in connected with the sensors, to generate and transmit allocated throttle signals to the throttles to minimize the motion by solving an optimization problem related to the motion, and a motor control unit configured to drive each of the motors via the throttles according to the allocated throttle signals.

An electronically controlled suspension control system of a vehicle using road surface information may include a road surface recognition unit of recognizing a road surface, a road surface profile determination unit of determining a road surface profile using information as to the recognized road surface, a behavior estimation and determination unit of estimating and determining a vehicle behavior according to the determined road surface profile, a behavior information recording unit storing information as to the behavior of the vehicle, an electronically controlled suspension (ECS) control unit of controlling a suspension of the vehicle, and a behavior determination and control unit of comparing a determined value from the behavior estimation and determination unit with recorded values of the behavior information recording unit, determining a behavior level of the vehicle, based on results of the comparison, and sending a control command according to the determined behavior level to the ECS control unit.

Methods and systems for autonomously altering shape and functionality of on-road vehicles. An on-road autonomous vehicle, which is currently integrated with a first object and thus having a respective certain functional shape, performs a respective certain function. A request is obtained to alter functionality of the on-road vehicle, which consequently releases autonomously the first object, self drives to a location of a second object, and self-integrates with the second object by straddling-over and grabbing the second object, thus switching to a different functional shape and consequently accomplishing said alteration of functionality.

The preview damping control includes an ECU. When the vehicle is traveling within a communications disruption area in which a radio communication device is hard to communicate with a cloud, the ECU uses road surface displacement correlating information that has been stored in an on-board memory device in advance for the communications disruption area so as to perform a preview damping control.

The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.