Abstract:
Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object (810-890) associated with a construction zone. The identified construction object may be used to map the area (910) of the construction zone. Detailed map information (136) may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle (101) having an autonomous mode.
Abstract:
Methods and systems for adaptive methods for transitioning control to the driver are described. A computing device controlling a vehicle autonomously may be configured to receive a request for a transition of the vehicle from autonomous mode to manual mode through an indication by the driver. The computing device may determine the state of the vehicle based on parameters related to the autonomous operation of the vehicle. Based on the state of the vehicle and the indication, the computing device may determine instructions corresponding to the transition of control, which may include a strategy for the transition and duration of time corresponding to the transition of control. The computing device may provide the instructions to perform the transition of control of the vehicle from autonomous mode to manual mode.
Abstract:
A friction monitoring system (2) for vehicles (4, 16) which comprises a slipperiness detection device (6) suited to making measurements of at least one parameter related to slipperiness of a roadway close to a first vehicle (4), to determining at least one friction value on the basis of the measurement and to generating a friction signal (8) comprising said friction value determined. Also provided is a processing device (10) adapted to receiving said friction signal (8) and to generating a slipperiness information signal (12) comprising said friction value. The friction monitoring system (2) comprises also a first communication device (14) situated in the first vehicle (4) and adapted to receiving said slipperiness information signal (12) and to transmitting a processed slipperiness information signal (15) wirelessly in a format such that one or more other vehicles (16) can receive the processed signal (15), process it and, where necessary, activate at least one skid protection system (17) in said other vehicle on the basis of the information contained in the processed signal (15), said slipperiness information signal (12) being arranged to be passed on and, where necessary, to activate at least one skid protection system (22) of the first vehicle (4) in accordance with a set of dynamic activation rules.
Abstract:
A method for determining whether hands of an operator of a vehicle are positioned on a hand wheel of the vehicle is provided. The method generates a first frequency content below a first frequency from a hand wheel torque signal. The method generates a second frequency content above a second frequency from the hand wheel torque signal. The method generates a hands on wheel (HOW) estimate signal based on the first frequency content and the second frequency content. The method causes a system in a vehicle to operate based on the HOW estimate signal.
Abstract:
An interface arrangement for use by a user of a vehicle having an autonomous drive (AD) system the interface arrangement being an interface arrangement between the user and the autonomous drive (AD) system. The interface arrangement comprises a manually operated communication device (1) which is arranged to be movable between multiple predetermined positions (A, TL, TR, CL, CR, TF, CL/TF, CR/TF, TF/CL, TF/CR, TF'/CL, TF'/CR) and to input commands into the autonomous drive (AD) system, wherein each pre-determined position (A, TL, TR, CL, CR, TF, CL/TF, CR/TF, TF/CL, TF/CR, TF'/CL, TF'/CR) of the manually operated communication device (1) codes for a command to the autonomous drive system.
Abstract:
Eine Anordnung (10) zur Steuerung eines hochautomatisierten Fahrens eines Fahrzeugs umfasst eine Fahrzeugführungseinrichtung (100) zum autonomen Führen des Fahrzeugs (1), eine Auswerteinrichtung (110) zur Auswertung eines Zustands eines Fahrers (2) des Fahrzeugs (1) und eine Steuerungseinrichtung (120) zur Steuerung eines Aktivierens und Deaktivierens der Fahrzeugführungseinrichtung (100). Die Steuerungseinrichtung (120) ist dazu ausgebildet, in Abhängigkeit von einer verbleibenden autonomen Fahrzeit (T HAF ), während der das Fahrzeug von der Fahrzeugführungseinrichtung (100) autonom gesteuert werden kann, und der Reaktionszeit (T i ) des Fahrers (2) die Fahrzeugführungseinrichtung (100) zum autonomen Führen des Fahrzeugs (1) zu aktivieren oder zu deaktivieren.
Abstract:
Methods and systems for detection of a construction zone using information from a plurality of sources are described. In an example, a computing device, configured to control the vehicle, may be configured to receive information, from a plurality of sources, relating to detection of a construction zone on the road on which the vehicle is travelling. Also, the computing device may be configured to determine a likelihood of existence of the construction zone on the road, based on the information. Further the computing device may be configured to modify a control strategy associated with a driving behavior of the vehicle, based on the likelihood; and control the vehicle based on the modified control strategy.