Volkswagen Ag

Audi Ag

Volkswagen Ag and Audi Ag

Kaushik Raghu

Premkumar Natarajan

Mohammadhossein Daraei

Norman Lopez

Lorenz Laubinger

Somudro Gupta

Tobias Steiner

Najib Hadir

Subramanian Swaminathan

Schmidts Beatrix

An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Early detection of exit only and shared lanes using perception technology

The present disclosure includes automated vehicles having optimized driving profiles including optimized speed profiles for execution between obstacles in consideration of economy of operation, and methods thereof.

Automated vehicle with optimized driving profiles

A method and system to determine whether a traffic light applies to a vehicle. Traffic light count, visibility duration and spatial position are analyzed to determine the applicability of a traffic light to a vehicle.

Method and system to identify traffic lights by an autonomous vehicle

An in-vehicle system for identifying turn-only and shared turn lanes and identifying turn rules according to visual indicia captured from turn signs. An image apparatus configured to obtain image data including graphic data and/or text data from a roadway sign, as well as street light image data for an intersection on the roadway. The image data may be processed to detect a graphic image and/or text from the image data relating to the roadway sign. Street light image data may also be captured and processed to determine a street light status. An identification module may determine rules for turning on the intersection of the roadway based on the processed image data relating to the roadway sign, wherein the identification module is further configured to determine if the turn on the roadway is allowed based on the determined street light status.

Early detection of turning condition identification using perception technology

A system and method for early detection of turning intent and automatic actuation of a turn signal in a vehicle is provided. The system has an image recognition system and turn determination unit for identifying turn predictors and processing them to determine if a turn is about to happen. In response, a corresponding turn signal is automatically initiated for a predetermined period of time, and further vehicle systems can be updated.

Early detection of turning and automatic response by the vehicle

An adaptive cruise control that adjusts the speed of the controlled vehicle based on one or more vehicles ahead of the controlled vehicle. The adaptive cruise control illustratively includes a forward vehicles sensor that monitors not only the lead vehicle directly ahead of the controlled vehicle, but also one or more forward vehicles. The data from the forward vehicles sensor can be used to adjust the controlled vehicle speed.

Method to enhance safe acceleration and lead-vehicle distance keeping performance, by measuring forward vehicle gaps

A system for identifying the status of a group of secondary vehicles. The system determines whether the group of secondary vehicles are parked or part of a traffic jam.

System for distinguishing between traffic jam and parked vehicles

An in-vehicle system for determining whether a vehicle has moved off of a main roadway and into an exit lane. A navigation unit determines that an exit is approaching on a first side of the vehicle, and a camera obtains image data regarding lane markings and exit signs in response to a notification that the exit is approaching. An image processor identifies predetermined patterns among the lane markings, including V-shaped patterns or Y-shaped patterns. The system determines that the vehicle has moved into the exit lane in response to an identification of one of the predetermined patterns on a second side of the vehicle opposite the first side of the vehicle. The system may verify its determination based on recognition of an exit sign on the second side of the vehicle.

Accurate position determination near exit lanes

An intersection decision system for autonomously navigating an autonomous vehicle through a stop sign intersection. The intersection decision system includes an intersection arrival detector configured to automatically detect that the vehicle has arrived at the stop sign intersection, a vehicle detector for automatically detecting previously-arrived vehicles at the stop sign intersection, and a pedestrian detector for automatically detecting pedestrians crossing at the stop sign intersection. The intersection decision system determines whether the detected pedestrians are obstructing the previously-arrived vehicles from proceeding through the stop sign intersection. If so, the intersection decision system determines that the autonomous vehicle should proceed through the stop sign intersection without waiting for the previously-arrived vehicles to proceed through the stop sign intersection.

Growing community of inventors

Redwood City, CA, United States of America

Kaushik Raghu