Denso International America, Inc.

Denso Corporation

Denso Corpora Tion

Yu Yan

Hiroshi Inou

Minglei Huang

Trong Duy Nguyen

Arpith Abraham

Systems, methods, and other embodiments described herein relate to adaptively selecting a controller for generating vehicle controls. In one embodiment, a method includes, in response to acquiring sensor data about a surrounding environment of the vehicle, determining a driving context of the vehicle in relation to aspects of a roadway on which the vehicle is traveling. The method includes selecting a controller for generating control inputs to the vehicle according to the driving context by selecting between a proportional, integral, derivative (PID) controller and a machine learning (ML) controller. The method includes controlling the vehicle using the controller.

Mode selection according to system conditions

Systems, methods, and other embodiments described herein relate to improving vehicle behavior planning to avoid undertaking maneuvers. In one embodiment, a method includes generating a driving context from sensor data about a surrounding environment of an ego vehicle. The driving context identifying lanes of a roadway and a position of the ego vehicle in the lanes. The method includes, in response to determining that the driving context and a state of a nearby vehicle satisfy a merge threshold, generating a trajectory for the ego vehicle that avoids undertaking the nearby vehicle. The method includes controlling the ego vehicle according to the trajectory.

Vehicle behavior planning for overtaking vehicles

Display screen or portion thereof with graphical user interface for a remote control vehicle

Systems, methods, and other embodiments described herein relate to representing identified objects in a surrounding environment of a vehicle. In one embodiment, a method includes, in response to acquiring information including sensor data and operating data in a vehicle, setting a parameter for analyzing the sensor data according to the information to select between 3D bounding boxes and 2D bounding boxes for representing identified objects in a surrounding environment of the vehicle. The method includes analyzing the sensor data according to the parameter. The method includes providing an electronic output in the vehicle according to the parameter.

Systems and methods for adaptive bounding box selection

Driving control systems and methods include a first vehicle having one or more processors programmed to receive an individual driving behavior model specific to a driver of a second vehicle proximate the first vehicle. The individual driving behavior model is based on historical driving behavior of the driver of the second vehicle. The one or more processors are programmed to identify a motion plan for the first vehicle based on the individual driving behavior model specific to the driver of the second vehicle, and to control movement of the first vehicle according to the identified motion plan.

Considerate driving system

A lane trace control system for maintaining a vehicle in its intended lane of travel. The system includes a lane trace control module configured to: compare the road information obtained by a lane recognition camera with map data obtained from a map module; determine a confidence level of the lane recognition camera based on a magnitude of any differences identified between the road information obtained from the lane recognition camera and the obtained map data; generate a target wheel angle for keeping the vehicle in its intended lane based entirely on the road information obtained from the lane recognition camera when the confidence level is above a predetermined threshold; and generate the target wheel angle based on a combination of the road information obtained from the lane recognition camera and the obtained map data of the road when the confidence level is below the predetermined threshold.

Vehicle lane trace control system

An autonomous drive system for a vehicle. The system has an autonomous drive module configured to pilot the vehicle. A control module monitors operating performance of the autonomous drive system. A location module identifies the vehicle's location. A transmitter/receiver communicates with a high risk location monitoring module at a location remote to the vehicle. When the control module determines that performance of the autonomous drive system is below a predetermined performance threshold, the control module retrieves the vehicle's location from the location module and transmits the vehicle's location to the high risk location monitoring module, which records the vehicle's current location to notify other vehicles that autonomous drive issues may occur at the vehicle's location.

Autonomous drive system

A driver assisting system for a vehicle that is capable of operating in an autonomous drive mode and a manual drive mode is provided. The driver assisting system includes: an autonomous drive apparatus that controls the vehicle during the autonomous drive mode; a navigation apparatus; a detector that obtains information associated with an eagerness of the driver; an eagerness determiner that determines; and a controller that switches between the autonomous drive mode and the manual drive mode. The navigation apparatus is configured to initially suggest an original route, suggest an alternative route, and suggest a fastest route when the vehicle deviates from the original route and the eagerness determiner determines that the driver is in the high eagerness state. The controller is configured to set the autonomous drive mode, maintain the autonomous drive mode, and switch to the manual drive mode.

Driver assisting system

A processor is coupled to a vehicle, the processor being configured to store a lane change parameter. A feature sensor detects a feature of a passenger in the vehicle. The processor is programmed to control the vehicle to execute an assisted lane change based on the lane change parameter, the lane change parameter defining a characteristic of the assisted lane change, communicate with the feature sensor to detect the feature of the passenger during the assisted lane change, determine whether the passenger was comfortable during the assisted lane change based on the detected feature of the passenger, and modify the lane change parameter upon determining that the passenger was uncomfortable.

Vehicle system and vehicle controller for controlling vehicle

A collision avoidance system including a proximity sensor for a lead vehicle configured to determine an actual distance between the lead vehicle and a following vehicle. A projector for the lead vehicle is configured to project, above ground level, an image from the lead vehicle towards the following vehicle to notify the following vehicle of the lead vehicle. A control module for the lead vehicle is configured to instruct the projector to project the image when the actual distance is less than a threshold safety distance.

Growing community of inventors

Novi, MI, United States of America

Yu Yan