Patent classifications
B60W2050/0095
DETECTION OF ACTIVE EMERGENCY VEHICLES SHARED WITHIN AN AUTONOMOUS VEHICLE FLEET
Various technologies described herein pertain to sharing of detection of active emergency vehicles within an autonomous vehicle fleet. Information specifying detection of an active emergency vehicle at a first location in an environment is received. The active emergency vehicle is detected based upon sensor inputs of a first autonomous vehicle in an autonomous vehicle fleet. A second autonomous vehicle, at a second location, in the autonomous vehicle fleet is identified as being approached by the active emergency vehicle based on the information specifying the detection of the active emergency vehicle at the first location and the second location of the second autonomous vehicle. A remote assistance session for the second autonomous vehicle is caused to be initiated based on the second autonomous vehicle being identified as being approached by the active emergency vehicle. The second autonomous vehicle is controllable by a remote operator during the remote assistance session.
Method and apparatus for controlling cruise control
Improved control of cruise control for a vehicle, in particular an automated activation of cruise control. For this purpose, the speed of the vehicle is monitored. If the speed of the vehicle and/or a distance between the vehicle and a further vehicle in front of the vehicle is within a predetermined range for a specific period of time it is indicated to a user that cruise control can be activated. Accordingly, cruise control can be automatically activated after providing the indication to the user, or a user may respond to this indication by providing a specific activity such as a release of the acceleration pedal.
Readiness and identification by gaze and/or gesture pattern detection
A vehicle control handoff system includes a controller comprising a processor and a non-transitory computer readable memory, one or more environment sensors and an imaging device communicatively coupled to the controller, and a machine-readable instruction set stored in the non-transitory computer readable memory of the controller. The machine-readable instruction set causes the system to: receive image data from at least one imaging device, receive one or more signals corresponding to an environment of a vehicle from the one or more environment sensors, define a gaze pattern comprising a first gaze direction corresponding to a first location within the environment of the vehicle, determine a first gaze based on the image data of the driver, determine whether the first gaze corresponds to at least one gaze direction of the gaze pattern, and transfer control of a vehicle operation from control by the controller to the driver in response to determining that the first gaze corresponds to the gaze pattern.
High-performance road vehicle with automatic configuration acquisition and corresponding control method
High-performance road vehicle having: a plurality of replaceable or removable components; a control unit that supervises the operation of the road vehicle; at least one electronic identification device, which is fitted on a corresponding component, has a memory designed to contain at least one unique identifying code of the component and has a first transmission organ designed to send the data contained in the memory; and a second transmission organ designed to communicate with the first transmission organ and connected to the control unit to allow the control unit to interact with the electronic identification device.
Appartuses, Systems and Methods for Compressing Image Data that is Representative of a Series of Digital Images
The present disclosure is directed to apparatuses, systems and methods for automatically compressing digital image data. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically compressing digital image data that is representative of a series of digital images.
ASSISTANCE IN DRIVING ON A FAST ROAD WITH CARRIAGEWAYS SEPARATED BY A SAFETY RAIL
The invention relates to a method for assisting in the driving of a motor vehicle on a fast road with carriageways separated by a safety rail in which the presence of the safety rail is detected (40) and the safety rail is modelled from measurements performed continuously by at least one laser scanner sensor (20) mounted on the motor vehicle, with the determination of a confidence index I.sub.CONF associated with the detection by the laser scanner sensor (20); an automatic driving mode is activated (60) if the confidence index I.sub.CONF is above a confidence threshold I.sub.th; this mode is maintained (120) as long as a current confidence index associated with the detection is above the confidence threshold I.sub.th; and this mode is deactivated if the current confidence index passes below said confidence threshold; according to the invention, the density of traffic in front of the motor vehicle is estimated (70) from images captured by an embedded camera (30), so that, after activation (60) of the automatic driving mode, said current confidence index taken into account for the deactivation and the maintaining of the mode is a function of a combination of the confidence index I.sub.CONF associated with the detection of presence of the safety rail and of the estimated traffic density.
Driver feedback alerts based upon monitoring use of autonomous vehicle operation features
Methods and systems for monitoring use, determining risk, and alerting an operator of a vehicle having one or more autonomous (and/or semi-autonomous) operation features are provided. According to certain aspects, operating data from sensors within the vehicle may be used to determine risks associated with use of the features, which may include use at particular levels or with certain settings. The risk levels may be compared with warning thresholds to determine whether safe operation may be maintained under the operating conditions. When the risk levels exceed a threshold, a warning may be generated and presented to the vehicle operator, which may include information regarding the risks. The vehicle operator may then change the use levels or select an option to change the use levels of the features. The response of the vehicle operator may be used to determine or adjust aspects of an insurance policy associated with the vehicle.
Accident fault determination for autonomous vehicles
Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous (and/or semi-autonomous) operation features are provided. According to certain aspects, operating data from sensors within or near the vehicle may be used to determine the occurrence of a vehicle accident, such as a collision. The operating data may further be used to determine an allocation of fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to adjust risk levels or profiles associated with the vehicle operator or with the autonomous operation features.
Electronic stability system for a vehicle having a straddle seat
A vehicle has a frame, at least two wheels, a motor, a straddle seat defining a driver seat portion and a passenger seat portion at least partially rearward of the driver seat portion, left and right passenger footrests connected to the frame, the left and right passenger footrests each being movable between a stowed position and a deployed position, a passenger footrest position sensor for sensing a position of at least one of the left and right passenger footrests, and an electronic stability system electronically connected to the passenger footrest position sensor for receiving a signal from the passenger footrest position sensor indicative of the position of the at least one of the left and right passenger footrests. An output of the electronic stability system is defined at least in part on the signal from the passenger footrest position sensor.
VEHICLE MIDDLEWARE
The present disclosure describes a vehicle implementing one or more processing modules. These modules are configured to connect and interface with the various buses in the vehicle, where the various buses are connected with the various components of the vehicle to facilitate information transfer among the vehicle components. Each processing module is further modularized with the ability to add and replace other functional modules now or in the future. These functional modules can themselves act as distinct vehicle components. Each processing modules may hand-off processing to other modules depending on its health, processing load, or by third-party control. Thus, the plurality of processing modules helps to implement a middleware point of control to the vehicle with redundancy in processing and safety and security awareness in their applications.