Collision avoidance system

About: Collision avoidance system is a(n) research topic. Over the lifetime, 1788 publication(s) have been published within this topic receiving 23667 citation(s).

Vehicle collision avoidance system

Abstract: An automobile collision avoidance system based on laser radars is disclosed for aiding in avoidance of automobile collisions. The very small beam width, very small angular resolution and the highly directional character of laser radars provide a plurality of advantages as compared with microwave radars. With two sets of laser radars this system can detect the location, the direction of movement, the speed and the size of all obstacles specifically and precisely. This system includes laser radars with transmitters and receivers, a computer, a warning device and an optional automatic braking device. A steering wheel rotation sensor or a laser gyroscope is utilized to give information of system-equipped vehicle's directional change. The system will compare the predicted collision time with the minimal allowable time to determine the imminency of a collision, and when determined, provides a warning. An optional automatic braking device is disclosed to be used when the vehicle user fails to respond to a warning. Furthermore, a wheel skidding detecting system based on a discrepancy between the directional change rate predicted by a steering wheel rotation sensor and the actual directional change rate detected by a laser gyroscope is also disclosed. The detection of wheel skidding can be utilized by various vehicle control designs. An averaging device for a steering wheel and a vehicle tilting sensor are used to supplement the steering wheel rotation sensor to improve the accuracy of the automobile collision avoidance system and the wheel skidding detecting system.

Real time three dimensional geo-referenced digital orthophotograph-based positioning, navigation, collision avoidance and decision support system

Abstract: Herein is presented a positioning, navigation and collision avoidance system for ships, aircraft, land vehicles and the like, which utilizes a geo-referenced digital orthophotograph data-base and a positioning signal to display upon a computer stereo graphics device a high visibility dynamic photographic image of the user's immediate environment, including both moving and stationary obstacles. The position and temporal data along with the geo-referenced elevation data utilized to derive the digital orthophotograph(s) can serve to warn the user of nearby obstacles; and optionally, to implement semi-automatic avoidance. Substituting user generated x-y-z positions and times, the system may be used in a static mode as a flight simulator or a simulator for other modes of transportation. The system may also be used as a mobile Geographic Information Systems decision making tool with the addition of user supplied geo-referenced digital data layers.

Artificial intelligence valet systems and methods

Abstract: Various examples are described for an artificial intelligence valet system. In one example, among others, a distributed information sharing system can obtain route information associated with a geographic area and provide the route information to a user vehicle in response to a request. In another example, an autonomous user vehicle can receive a request to autonomously proceed to a user defined location; obtain route information; and determine a route to the user defined location using the route information. In another example, a collision avoidance system can determine if an object is in a path of travel of a vehicle based at least in part upon sensory data and maneuver the vehicle based at least in part upon an object determination. In another example, an accident reporting system can determine an occurrence of a violation of a vehicle; obtain recordings of the environment surrounding the vehicle; and report the violation.

Collision avoidance system

Abstract: The Collision Avoidance System prevents vehicular collisions between vehicles and with pedestrians, trains, and stationary objects by monitoring (50), controlling (40), documenting, and reporting (60) the speed and position of vehicles. The system guards against speeding violations, moving violations, and particular safety hazards by invoking a reduction of vehicle speed or by restricting vehicle movement to control its position. This is primarily accomplished with the activation of a controllable road perturbation (20). The system also monitors pedestrians, school bus loading/unloading, traffic density, trains, road moisture, and traffic control systems to determine the action to take for collision prevention. The capability to monitor various entities that may be involved in a collision or entities that indicate a possible collision is forthcoming allows the system to monitor an entire traffic environment and thus anticipate possible collisions. The system integrates and synchronizes with existing traffic control devices and systems to ensure that it reinforces the traffic laws and safety intent of the environment in which it is installed. A computer (10) is used to determine if the vehicles are adhering to the traffic laws or other safety concerns. Visual displays (70) may accompany the system output to inform the motorist what must be done to prevent a collision.

Vehicular collision avoidance system

Abstract: A collision avoidance system for use in a vehicle. The system facilitates the avoidance of other vehicles and other potential hazards or obstacles. A sensor subsystem is used to capture sensor data relating to one or more areas outside the vehicle. Sensor data is sent from the sensor subsystem to a threat assessment subsystem for generating a threat assessment from the sensor data. The threat assessment is then sent to a feedback subsystem so that if appropriate, a response is generated by the system. The response can take the form of a visual, audio, and/or haptic warning. The response can also take the form of changes with respect to the vehicle itself, such as an automatic reduction in speed. The system can incorporate user-based attributes, vehicle-based attributes, and environment-based attributes in evaluating potential threats and contemplating system responses to those threats. A wide variety of different heuristics can be applied by the system. The system can be configured to minimize nuisance alarms and accommodate distinctions between users based on user preferences, user history, and other factors.