4686 results about "Vehicle type" patented technology

The invention discloses a vehicle type recognition method based on a rapid R-CNN deep neural network, which mainly comprises unsupervised deep learning, a multilayer CNN (Convolutional Neural Network), a regional advice network, network sharing and a softmax classifier. The vehicle type recognition method realizes a framework for implementing end-to-end vehicle detection and recognition by using one rapid R-CNN network in a real sense, and is capable of carrying out quick vehicle sub-category recognition with high accuracy and robustness under the environment of being applicable to the shape diversity, the illumination variation diversity, the background diversity and the like of vehicle targets.

A transport arrangement system operates to receive a transport request from a user, and to make a selection of a vehicle type for the user based at least in part on a set of criteria associated with the transport request or user information. For example, the determination of whether an autonomous vehicle is to be provided can be based at least in part on the destination specified with the transport request.

A vehicle diagnostic data collector/analyzer compiles historical vehicle diagnostic data, including measured operating parameters from a number of different vehicles operating under a variety of normal vehicle operating conditions and vehicle component failure conditions, and performs statistical analyses on various vehicle type/operating condition combinations to establish operating parameter ranges corresponding to normal operating conditions and various failure conditions. The diagnostic data collector/analyzer also measures real-time operating parameters on specific test-subject vehicles and evaluates similarities and differences between the measured operating parameters and the established ranges, and correlates the test data with known operating conditions in order to diagnose potential failure modes of vehicle components.

A system, equipment, and processes for extending the scope of automation in port container facilities, and thereby increasing port capacity within fixed land resources, increasing operational productivity, increasing safety, increasing the velocity and reliability of goods movement, increasing freight security, reducing negative environmental impacts, and reducing the overall cost of goods movement. A storage area is accessed by automated guided vehicles which receive and unload containerized loads. On the waterside, loads are exchanged between the vehicles and ships using quay cranes. On the ground transportation side, loads are exchanged between the vehicles and truck or rail carriers using semi automated or automated remote-controlled bridge cranes. Within the storage area, loads are exchanged between the vehicles and the storage facilities using automated stacking cranes. The vehicles are adapted to receive a cassette storage platform which in turn receives standard ISO containers. The vehicles also are adapted to receive one or more alternative platforms including a coning platform for workers to manage container coning, a reefer access and maintenance platform, and a worker transport platform. The use of a single vehicle type with interchangeable platforms allows for maximum flexibility and efficiency. The automation of the vehicle allows for complete contamination within the storage portion of the system.

The system thus substantially extends the reach of automation to cover both landside and waterside intra-terminal transfer operations. By this extension, the interface of workers and machines is greatly reduced, increasing safety, productivity, security, and capacity. By this extension, the robotic control process can be fully optimized, increasing velocity and reliability while reducing the terminal's environmental footprint.

A vehicle management system includes a first module having a plurality of functions. The vehicle management system also includes a second module and a system bus. At least the first module and the second module communicate on the system bus. The vehicle management system further includes an identifier based on one of a plurality of vehicle types. When a first vehicle type is identified, a first set of the plurality of functions is utilized based on the identifier associated with the first vehicle type. When a second vehicle type is identified, a second set of the plurality of functions is utilized based on the identifier associated with the second vehicle type.

A panel-securing system for various vehicle types is provided, in which various clamps and fingers for different panel shapes may be selected for operation by a single cylinder, the amount of space utilized to install the system is minimized, and parts used in the system are simplified. The panel-securing system for use in a production line for various vehicle types comprises a controller having stored therein panel information for various vehicle types, the controller generating and outputting a locator-selection control signal and a panel-securing control signal corresponding to panel information of the correct vehicle type; a first actuator for selecting a locator corresponding to the locator-selection control signal output by the controller; a second actuator for driving a locator corresponding to the panel-securing control signal output by the controller; and a panel-securing assembly including a plurality of locators, which correspond to panels of the various vehicle types.

A hybrid energy system comprised of methods that work in conjunction with multiple kinetic energy turbine types, valves, solar power panels, piezoelectric devices and also element force. Hybrid energy powers electrical devices on site and extra power is also consigned off site. A network control system shunts surplus energy to the utility grid via above ground and underground cable. An on site power system charges a parked vehicle battery. A utility service vehicle is employed to deliver charged battery banks to on and off grid customers. A hybrid energy system integrates on rooftops, skyscrapers, bridges, tunnels, and aqueducts, as well as infrastructure on and off shore. A hybrid energy system integrates in various vehicle types and the power is managed accordingly by the vehicle control system.

A robotic architecture for capturing the autonomous performance advantages the animal models enjoy in the natural environment is disclosed. A biomimesis process is employed to allow selective utilization of basic physical components and adaptation of a common control paradigm for each of different vehicle types. The biomimetic architecture involves five functional elements: a basic biomorphic plant for capturing the biomechanical advantages of the model organism; a neural circuit-based controller consisting of a finite state machine; myomorphic actuators producing linear graded force in response to trains of current pulses for mediating movements; labeled line code output by neuromorphic sensors; and a reactive behavioral sequencer executing command sequences defined within a behavioral library.

A system and method for providing traffic violation avoidance guidance by categorizing traffic data into data types or user types corresponding to one another, the data and user types including one of commercial vehicle, non-commercial vehicle, vehicle type, vehicle plate type, motorcyclist, cyclist, or pedestrian, and generating notifications of potential traffic violations based on the user's location and type. A summary of differences between a first set of traffic rules associated with a first location and a second set of traffic rules associated with a second location may be generated based on the data type or the user type. The system and method may also analyze traffic data to predict potential traffic violations based on a user's location and type, and to provide a notification regarding the potential traffic violations to the user through a user engagement panel associated with a user's remote computing device.

The invention relates to an expressway audio vehicle detection device and a method thereof. By the aid of the detection device, a microphone array signal acquisition module acquires an audio signal on a lane, the audio signal is subjected to band-splitting filtering and framing through a signal processing module after being subjected to de-noising processing through a noise suppression module, cross-correlation processing is conducted among sub-band signals, an audio space spectrogram is obtained, a vehicle detection module tracks a track of the maximum value on the audio space spectrogram and judges whether a vehicle passes, and the vehicle type and the vehicle speed are obtained through a vehicle type recognition module and a vehicle speed recognition module if the vehicle passes. The detection method is based on the device, a minimum statistical noise estimation method of the adaptive window length is adopted, the signal which is subjected to noise suppression processing is subjected to band-splitting filtering and framing processing, then cross-correlation processing is conducted among same sub-band signals, cross-correlation results are summed after being subjected to amplitude compression and are unfolded along a timer shaft, and an audio signal space-time spectrum is obtained. The method and the device have the advantages of being low in cost, low in energy consumption,easy to construct, interference resisting, capable of working in all weather and the like.

The invention discloses a method for quick vehicle type recognition under video monitoring mode, which is implemented according to the following steps: setting up a road monitoring device and classifying the vehicles into cars, taxis marked by special color, microbuses, middle-sized vehicles, public buses and large trucks; step 1, initialization, conducting training to the video monitoring device; step2, extracting the area of the vehicle target area and the length and the width of the boundary rectangle of the area, constructing corresponding characteristics and roughly classifying the vehicles into minitype vehicles, middle-sized vehicles and large vehicles; step 3, extracting the main colors of bodyworks of a plurality of minitype vehicle targets to recognize the taxis, then extracting the characteristic parameter of window position of the minitype vehicles, and furthermore, determining the microbuses or cars; and step 4, extracting the characteristic parameters of roof brightness and roof texture to determine whether the large vehicles are public buses or not. Through the method, a variety of vehicles can be recognized quickly and accurately according to the classification characteristics.

The invention discloses an end-of-line configuration system and a configuration method for a finished vehicle. The system comprises a vehicle type configuration database, end-of-line equipment which is applicable to a controller area network (CAN) platform, and one or more electric control units in the finished vehicle, wherein the vehicle type configuration database is used for storing and querying finished vehicle codes and the finished vehicle configuration information, corresponding to each finished vehicle code, of the vehicle type; the end-of-line equipment is used for acquiring the finished vehicle configuration information from the vehicle type configuration database, coding the finished vehicle configuration information and writing the finished vehicle configuration information into the electric control units; the end-of-line equipment is connected with the vehicle type configuration database and the electric control units through CAN communication; and the electric control units are used for acquiring configuration information codes from the end-of-line equipment. The invention has the advantages that: the structure of the vehicle is not changed; and the configuration ofthe finished vehicle is adjusted by flashing the configuration codes, so the quantity of the electric control units is effectively reduced, and the electric control units can be applied to vehicles of different configurations.

An apparatus and operational method are disclosed that use control hardware resident in a vehicle to enable a remote computing system to wirelessly communicate with the vehicle. The control hardware includes a processor configured to interface with a wireless network and the vehicle through, respectively, a wireless network interface and a vehicle interface. A plurality of CAN (control area network) bus transceivers may exist within the vehicle interface operable to allow the processor to interface with multiple vehicle types. The processor may then be configured to automatically detect an identifier for the vehicle though the vehicle interface and automatically select a CAN bus transceiver from the plurality of CAN bus transceivers based on the detected identifier. The processor can then communicate with the vehicle's CAN bus via the selected CAN bus transceiver.

The invention provides a vehicle model recognition model construction method based on depth learning. According to the method, a deep convolution neural network structure is designed for vehicle model recognition; softmax classification loss and sorting loss which is built through a vehicle model type hierarchical structure and is based on tetrad are used together to supervise the deep convolution neural network training; and intra-class differences and inter-class differences of vehicle models are constrained at the same time to learn character representation with rich semantic information and a discriminating classifier. In order to speed up network convergence, an online difficult sample mining policy and an improved gradient backtracking optimization algorithm are used, which greatly reduces the network training time. The invention further provides a vehicle model recognition method based on depth learning. The vehicle model recognition method uses the model constructed by the model construction method to recognize the vehicle type in a vehicle picture, which effectively improves the vehicle model classification accuracy.

Novel solutions to the challenges of obtaining accurate information about a user's or an organization's carbon footprint. In some cases, these solutions can obtain and/provide feedback about a user's carbon output based on the user's habits and choices. Some solutions are designed to supply services to individuals as well as commercial ventures and for a variety of vehicle fleets, including without limitation construction equipment. In different aspects, systems in accordance with various embodiments enable a variety of types of users to create their own carbon emission generation profile based on vehicle type; track, estimate, and store their emissions in a database; analyze their results and performance, using established methods and metrics and/or automatically update all operating parameters of interest.

An apparatus and method is provided that allows a host workstation to communicate with all types of VDR available to a user to record events in a vehicle type selected by the user. The host workstation can also alert the user when the incorrect VDR is connected based upon the vehicle selection by the user. Once connected, the host workstation can configure the VDR for the desired recording parameters.

The present invention relates to a cross-linkable or cross-linked rubber composition usable in a tread of a tire, and to a tire incorporating this tread. A rubber composition according to the invention is based on at least one diene elastomer, and a plasticizer comprising a glycerol oleic acid triester, said plasticizer comprises:

• • one or more synthetic and/or natural compounds not extracted from petroleum in a mass fraction of from 45% to 100%, said compounds comprising at least one glycerol fatty acid triester, and the fatty acid(s) as a whole comprise oleic acid in a mass fraction equal to or greater than 60%, and
  • one or more paraffinic, aromatic or naphthenic type plasticizing oils extracted from petroleum in a mass fraction of from 55% to 0%. The invention applies in particular to tires of passenger-vehicle type.