701 results about "Collision risk" patented technology

A system for automated inventory management and material handling removes the requirement to operate fully automatically or all-manual using conventional vertical storage and retrieval (S&R) machines. Inventory requests to place palletized material into storage at a specified lot location or retrieve palletized material from a specified lot are resolved into missions for autonomous fork trucks, equivalent mobile platforms, or manual fork truck drivers (and their equipment) that are autonomously or manually executed to effect the request. Automated trucks plan their own movements to execute the mission over the warehouse aisles or roadways sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed.

A drive assist system includes an assist starting part starting assist, a detection part detecting relative distances and speeds between a vehicles, a calculation part calculating collision risks when changing a lane by the basis of the relative distances and speeds, a first judgment part judging whether the lane can be changed by the relative distances, speeds and the collision risks, a decision part deciding a target space for lane change by the relative distances and speeds when the lane cannot be changed, a second judgment part judging whether a lane changeable space is in the target space, a setting part setting a target speed for the vehicle go to a lane change waiting position when no space and to setting a target speed the vehicle enters a lane changeable position when there is the space, and a control part controlling a speed of the vehicle reaches the target speed.

A collision warning and avoidance system which comprising an integrated on-board Train Navigation Unit (3) and a GPS Interface Subsystem to locate a train. The system includes a GPS (2) location signal, at least one fixed transponder station (31) and a calibrated, rectified transponder identification subsystem for scanning the track based transponders for override of train controls in the event of a collision risk and further comprising a database of all transponders, their location and the track ID on which they are located. Data and information are computer processed and analysed in neural networks in one train to identify, rank, and evaluate collision hazards.

An object of the present invention is to provide a forward collision avoidance assistance system that attains the reduction of driver's uncomfortable feeling and the improvement in drivability while ensuring the collision avoidance performance during operation for avoiding contact with an object.

A collision avoidance calculation unit 3 determines a risk of collision between a host vehicle and an object detected in the host vehicle traveling direction based on information about the host vehicle detected by a host vehicle information detection unit 1 and information about the object detected by an object information detection unit 2, and calculates control information for object avoidance to be output to an actuator 5 based on a result of collision risk judgment. The collision avoidance calculation unit 3 uses a collision-avoidable limit distance Δxctl2 determined based on a physical limit that can avoid collision with the object, and a jerk-limited collision avoidable distance Δxctl1 determined based on the acceleration and jerk generated on the host vehicle by object avoidance movement, to control the brake force generated on the host vehicle by a brake actuator 5.

The invention discloses a ship collision avoidance assisted decision-making method and system based on track fusion and track prediction. The method comprises the following steps: S1, ship information transmitted by an automatic identification system of a ship and a radar is obtained and pretreatment is carried out on the ship information to obtain position, speed, and orientation information of the ship; S2, track association and track fusion are carried out on the position, speed, and orientation information of ship; and S3, according to the result of the track fusion, track prediction is carried out on a target ship, and ship collision risk evaluation, avoidance decision making, and target ship posture monitoring are carried out. According to the invention, reliability and stability of the ship navigation data source are improved; safety information during the ship sailing process can be monitored intelligent in real time; and thus the ship collision can be avoided. Intelligence and miniaturization of the ship-borne equipment can be realized well; and the method and system have great practical application values.

A system and method for warning a driver of a host vehicle of a potential collision with other vehicles when turning at an intersection. The method includes determining if the host vehicle is likely to turn at the intersection, and if so, segmenting the intersection into a plurality of different regions, where each region has a different level of collision threat risk. The method obtains the speed, velocity and position of the host vehicle and any relevant remote vehicles in the intersection. The method determines a predicted path of the host vehicle and the predicted path of the remote vehicles. The method then determines whether the host vehicle and the remote vehicles will simultaneously occupy a collision zone in the intersection based on the predicted paths, and if so, issues a warning to the driver of the collision risk or apply vehicle controls to avoid or mitigate the collision risk.

The invention provides an early warning method for preventing vehicle collision and a device. The method includes steps of acquiring video image information of the front of a vehicle, and obtaining first characteristic information of an obstacle target of the front of the vehicle according to the video image information; acquiring radar measurement information of the front of the vehicle, and determining second characteristic information of the obstacle target of the front of the vehicle according to the radar measurement information; fusing characteristics of the first characteristic information and the second characteristic information so as to determine final characteristic information of the obstacle target of the front of the vehicle; estimating collision risks to the obstacle target according to the final characteristic information, and realizing early warning for a driver according to a collision risk estimation result. The obstacle target of the front of the vehicle and state information of the obstacle target are identified by means of fusing information, which are acquired by double cameras and a radar device, of the front of the vehicle, target identification precision is improved, and a collision preventive alarm function of the vehicle can be well realized.

The object of the invention is to provide driving support with appropriate timing for both obstacles that can be visually recognized by the driver of a vehicle and obstacles that are visually unrecognizable to the driver. When an obstacle is detected, whether the obstacle is a first-type obstacle that is visually recognizable to the driver of a vehicle or a second-type obstacle that is visually unrecognizable to the driver is determined (S2), the collision risk (base value) for each kind of obstacle is modified and adjusted such that the collision risk of a second-type obstacle is larger than the collision risk of a first-type obstacle (S3). In addition, the collision risk R2 of a second-type obstacle is compared with a threshold value Rc, and when R2≧Rc, a warning is output for the second-type obstacle (S5). Moreover, when R2<Rc, the collision risk RI of a first-type obstacle is compared with a threshold value Rcc, and when R1≧Rcc, it is determined that there is danger of a collision, and auto braking or evasive steering (S7) are performed. By doing so driving support is performed with appropriate timing for both obstacles that are visually recognizable to the driver of a vehicle and obstacles that are visually unrecognizable to the drive, and safety is maintained.

The invention discloses a method and a system for avoiding the vehicle and pedestrian collision in road-vehicle coordination environment. The method comprises the following steps including (1) information collection: information used for identifying collision risk is collected; (2) driving state discrimination: the current driving state of a vehicle is discriminated; (3) collision risk identification: whether the collision risk exists or not is identified according to the collected collision risk information and the current driving state of the vehicle; (4) driving state discrimination: if the collision risk exists, whether the current driving state of a driver is normal or not is discriminated; (5) collision avoiding: a targeted avoiding method is adopted according to the driving state of the driver for implementing the collision avoidance. The method provided by the invention has the advantage that the in-time adaptation to the actual driving condition can be realized for realizing effective avoidance on different dangerous conditions.

The invention discloses a control method for avoiding collision during emergent lane changing of a vehicle in a high-speed state and belongs to the technical field of vehicle active safety. A detecting unit obtains a road adhesion coefficient as well as the speeds, distance and accelerated speeds of the vehicle and a vehicle on an adjacent lane through a GPS/INS, millimeter-wave radar, a high-definition camera, a speed sensor and an accelerated speed sensor. A processing unit judges whether an alarm is given or an emergent lane changing collision avoiding intervention measure is taken under the collision risk situation according to the data of the detecting unit. An alarm unit carries out voice prompting and carries out displaying through a vehicle-mounted terminal. An executing unit achieves lane changing collision avoiding intervention through a braking controller and a steering controller. According to the method, risk early warning and lane changing prompting are achieved, under the situation that accidents cannot be avoided through emergent braking, the lane changing direction is judged according to the speed, accelerated speed and distance of the vehicle on the adjacent lane, an emergent lane changing trajectory is planned reasonably, and thus the purpose of avoiding accidents by avoiding collision during emergent lane changing is realized.

One embodiment of the present invention provides a system that facilitates assessment of collision between a primary principal and a non-primary principal for early warning. During operation, the system receives information which indicates a state of the primary principal and a state of the non-primary principal. The system divides future time into a number of time intervals, and estimates a number of possible future states of the primary and non-primary principals, wherein each future state corresponds to a time interval. The system further represents the possible future states of the primary or non-primary principal as one or more geometric objects in a space of which at least one dimension indicates the time. In addition, the system determines a probability of collision between the primary and non-primary principals based on the geometric objects.

The invention provides a vehicle and road collaborative information-based signalized intersection vehicle speed guidance system, which comprises an information communication module, an information acquisition and processing module, a vehicle speed guidance and suggestion module and a vehicle safety early-warning module. The information acquisition and processing module is used for acquiring the information of a vehicle through the acquisition and processing process of the combination of a GPS and an INS. The information acquisition and processing module is also used for acquiring the information of a preceding vehicle and the signal state information of an annunciator via the information communication module. By means of the vehicle speed guidance and suggestion module, after the entrance of the above vehicle into a guidance range, whether the vehicle is within the range of lane-changing-allowable road segments or not is judged based on the vehicle information within the guidance range and the signal state information of the annunciator. Meanwhile, the vehicle speed guidance and suggestion module provides a vehicle speed guidance suggestion and a driving lane suggestion to the vehicle. The vehicle safety early-warning module calculates a safety margin value between two vehicles according to the information of the vehicle and the information of the preceding vehicle, and then judges the collision risk state of the vehicle according to the safety margin value. According to the invention, the real-time position of the vehicle, the real-time speed of the vehicle and the mutual influence among vehicles are fully contemplated. In this way, when the vehicle passes through a signalized intersection, the stop delay of the vehicle is reduced. Therefore, the traffic efficiency of roads is improved and the environmental pollution is reduced.

The device attracts the attention of an aircraft crew on approach or normal (alert) or abnormal (alarm) crossing, of a traffic zone of an airport infrastructure presenting risks of collision. Accordingly, it selects on the basis of the information provided by the flight instruments, a type of flight phase from among a limited and pre-established choice of predefined types of flight phase. Then considers one or more runway incursion scenarios that are predefined as a function of the selected type of flight phase whose likelihood it analyzes by comparing the position of the aircraft provided by an onboard locating device with a plan of the airport infrastructure derived from an airport database and determines, on the basis of the analyzed scenarios that appear to be likely, alerts and alarms to be emitted in the cockpit.

The invention discloses a system and a method for preventing pedestrians from collision based on vehicle-road cooperation. The system comprises a vehicle-mounted module, a road-side module, a vehicle-road communication module, a central processing module and a display and control module. Information interaction between the road-side module and the vehicle-mounted module is realized by use of the vehicle-road communication module, and the data of the road-side module and the vehicle-mounted module both are sent to the central processing module; the central processing module is used for fusing and processing multi-source information and sending an instruction to the display and control module to execute a collision preventing measure. The system and the method for preventing pedestrians from collision based on vehicle-road cooperation have the advantages that more accurate pedestrian information within a wider range can be obtained in a vehicle-road cooperation manner and then the pedestrian-vehicle collision risk is determined, and furthermore, the corresponding collision preventing measures can be adopted, and therefore, the purpose of safe and intelligent driving aid can be achieved.

The invention discloses a vehicle anti-collision early warning system and method based on vehicle-road cooperation. The early warning system comprises a vehicle device, a roadside device, a control module, a communication module and a roadside prompting device; the vehicle device and the roadside device are subjected to data exchange through the communication module, the various collected data are converged to the control module through the established data channel to perform collision risk assessment, and early warning information or control instructions formed after risk assessment information are issued to a vehicle terminal or the roadside prompting device to prompt the vehicle to take corresponding measures to avoid vehicle collision. According to the invention, the accurate collision risk value of the vehicle can be obtained by means of a vehicle-road cooperation technology and a collision early warning model, the vehicle device can remind the vehicle to take corresponding anti-collision measures through voice and images after receiving early warning information, and the roadside prompting device performs collision risk prompting through lamplight or display device.

An approach is provided for determining vehicle accident risk. The approach determines a current vehicle state of the vehicle during operation of the vehicle. The current vehicle state is based on one or more intra-vehicle factors and one or more extra-vehicle factors that pertaining to the vehicle. The current vehicle state is compared to a number of historic accident-related vehicle states that correspond to a vehicle accidents previously recorded for a number of vehicles. Based on the comparison, the process detects an accident risk that pertains to the vehicle. The driver of the vehicle is then notified of the detected accident risk.

A method for controlling a robot having at least one visual sensor. A target for a motion of the robot is defined. A motion control signal adapted for the robot reaching the target is calculated. A collision avoidance control signal based on the closest points of segments of the robot and a virtual object between the visual sensing means and the target is calculated. The motion control signal and the collision avoidance control signal are weighted and combined. The weight of the motion control signal is higher when a calculated collision risk is lower. The motion of the robot is controlled according to the combined signal so that no segment of the robot enters the space defined by the virtual object.

Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).

A method for driver assistance for a first vehicle includes monitoring, using a detection arrangement provided with the first vehicle, a predefined area surrounding the first vehicle, identifying a road condition ahead of the first vehicle and within the predefined area, the road condition fulfilling a predetermined risk criteria, identifying a second vehicle initiating a maneuver for overtaking the first vehicle, and determining a collision risk level for the first and/or second vehicle during the overtaking maneuver.

Disclosed is a method and apparatus for determining the risk of an object collision. The method includes transmitting a signal and analyzing a received signal that is indicative of the presence of a remote object. The signal is then analyzed to determine an initial azimuth value and an initial range for the remote object. Subsequent received signals are continuously analyzed to continuously determine subsequent azimuth values, azimuth value velocities and accelerations, as well as subsequent range values, range value velocities and range value accelerations. The factors are then input into a predetermined formula to yield a risk assessment of collision P. The formulas for determining P can be adjusted to account for such factors as number and proximity of remote objects, as well as the speed and maneuverability of both the remote objects and the vehicle that is avoiding collisions with the remote object(s).

The invention discloses a vehicle collision warning method and device and a vehicle. The method comprises following steps: collecting first driving information of the vehicle, wherein first driving information comprises first speed information of the vehicle; obtaining second speed information of a preceding vehicle and determining an operation condition of the preceding vehicle based on second speed information; calculating the security warning distance between the vehicle and the preceding vehicle based on a pre-set warning/brake model, the current operation condition of the preceding vehicle, second speed information and first driving information; acquiring the actual distance between the vehicle and the preceding vehicle; and warning collision risks when the actual distance is less than the security warning distance. The method has following beneficial effects: more reasonable warning distances are calculated through warning/brake models corresponding to different operation conditions such that possibility of too early or too late warning is reduced to the maximum degree; accuracy and real-time performance of danger warning are improved; and occurrences of vehicle collision are decreased.

A method and a device for triggering and implementing a deceleration of a vehicle to avoid a collision, in which, using a device for adaptive cruise control, objects in the sensor detection range are detected and measured variables are determined for each detected object. The detected objects are assigned to various object classes on the basis of the determined, associated measured variables, and the movement trajectories of the objects are predicted on the basis of the assignment of the detected objects to the particular class. Furthermore, a collision risk and an injury risk are determined from these predicted movement trajectories of the objects and the associated, detected object classes. In the event of the existence of preselected combinations of collision risks and injury risks, the deceleration devices of the vehicle are activated as a function of the degree of the collision risk.

Conventional terrain anticollision equipment formulates, around the short term forecast trajectory of the aircraft which is equipped therewith, virtual volumes of protection of maneuver charted by feelers and signals a risk of terrain collision as soon as it detects an intrusion of the terrain into these virtual volumes of protection of maneuver. The terrain anticollision equipment proposed provides the crew with, in addition to the prealarms and alarms of risk of terrain collision, an indication of possibility of cessation of an avoidance maneuver instigated in order to resolve a risk of terrain collision, in the form either of a stoppage of an aural and/or luminous cue to continue the avoidance maneuver, or of the momentary generation of an aural and/or luminous cue of possible end of the avoidance maneuver, formulated by means of a feeler specific to route resumption, the absence of contact of the terrain with this feeler specific to route resumption being used to note the definitive resolution of a risk of terrain collision.

The invention discloses a ship collision risk analysis method based on AIS (automatic identification system) data. Based on historical AIS data and standard ship selection and conversion, a density clustering algorithm is used for establishing a heat map of a ship collision risk to realize spatiotemporal visualization of the ship collision risk; based on real-time AIS data and the ship position field, the course direction field, and the navigational speed field, a regional ship collision risk assessment model is constructed, and a Gaussian kernel function kernel density estimation algorithm isused for proposing a dynamic ship collision risk visualization method to realize areal-time update of the regional ship collision risk. The ship collision risk analysis method is based on the AISdata,the spatiotemporal visualization of the ship collision risk is realized,the visual image after the complex abstract ship traffic flow multi-attribute information is effectively dug and fused is realized, so that the risk level of the environment of the location of the ship can be intuitively and conveniently obtained by a driver or an operator, thusself-alertness is improved, the reasonable control measures are taken, and the safe operation of the ship is ensured.