Patent classifications
G08G1/04
Lane detection and tracking techniques for imaging systems
A method for tracking a lane on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes generating, by the one or more processors, a predicted spline comprising (i) a first spline and (ii) a predicted extension of the first spline in a direction in which the imaging system is moving. The first spline describes a boundary of a lane and is generated based on the set of pixels. The predicted extension of the first spline is generated based at least in part on a curvature of at least a portion of the first spline.
Lane detection and tracking techniques for imaging systems
A method for tracking a lane on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes generating, by the one or more processors, a predicted spline comprising (i) a first spline and (ii) a predicted extension of the first spline in a direction in which the imaging system is moving. The first spline describes a boundary of a lane and is generated based on the set of pixels. The predicted extension of the first spline is generated based at least in part on a curvature of at least a portion of the first spline.
METHOD AND SYSTEM FOR PERSONALIZED CAR FOLLOWING WITH TRANSFORMERS
A method comprises determining a vectorized representation of positions of road agents and road geometry based on sensor data from a vehicle, inputting the vectorized representation of the positions of the road agents and the road geometry into a trained transformer network, predicting one or more road agent trajectories at one or more future time steps based on an output of the transformer network, predicting an acceleration of the vehicle at the one or more future time steps based on the predicted one or more road agent trajectories at the one or more future time steps, and causing the vehicle to perform the predicted acceleration at the one or more future time steps.
Server, server control method, server control program, vehicle, vehicle control method, and vehicle control program
A server includes a server communication unit, a server control unit, and a server storage unit, and is connected in a communicable manner to a first vehicle and a second vehicle via the server communication unit. The server control unit transmits an imaging start command to the second vehicle, which runs within a predetermined range from an accident site, in response to the reception of an accident notification associated with positional information on the accident site from the first vehicle, receives an imaged image from the second vehicle, and stores the imaged image into the server storage unit.
Server, server control method, server control program, vehicle, vehicle control method, and vehicle control program
A server includes a server communication unit, a server control unit, and a server storage unit, and is connected in a communicable manner to a first vehicle and a second vehicle via the server communication unit. The server control unit transmits an imaging start command to the second vehicle, which runs within a predetermined range from an accident site, in response to the reception of an accident notification associated with positional information on the accident site from the first vehicle, receives an imaged image from the second vehicle, and stores the imaged image into the server storage unit.
Traffic safety control method and vehicle-mounted device
A traffic safety control method is provided. The method includes determining whether there is an intersection in front of a vehicle. When there is the intersection in front of the vehicle, a driving direction of the vehicle at the intersection is predicted according to a plurality of lane positions of the vehicle that are continuously obtained. A message is transmitted once the predicted driving direction is determined to be conflicting with a traffic rule of the intersection.
Traffic safety control method and vehicle-mounted device
A traffic safety control method is provided. The method includes determining whether there is an intersection in front of a vehicle. When there is the intersection in front of the vehicle, a driving direction of the vehicle at the intersection is predicted according to a plurality of lane positions of the vehicle that are continuously obtained. A message is transmitted once the predicted driving direction is determined to be conflicting with a traffic rule of the intersection.
Traffic warning and data capture devices and methods
Aspects of traffic warning and data capture are discussed. An indication of an approaching vehicle and an ambient light level are received by a device associated with a signboard. Based on the indication and the ambient light level, an alert is provided to a driver of the approaching vehicle. For providing the alert, a first illumination panel positioned to direct light onto a face of signboard is lighted. In various embodiments, lights in different colors are flashed for alerting a driver of the approaching vehicle of different hazardous driving conditions, wherein the lights of different colors are flashed at different instances and in one more directions. Further, the device can record and store or share traffic and pedestrian movement information for further analysis.
SURVEILLANCE DATA FILTRATION TECHNIQUES
A system for identifying desired information from collected sensor data includes a collection device and a processing module. The collection device collects sensor data, coarsely filters the sensor data according to predefined rules to generate filter matched data, and securely transmits the filter matched data to the processing module. The processing module finely filters the filter matched data to generate desired information, provides the desired information to an authorized actor, and deletes the filter matched data.
ROADWAY CONDITION MONITORING BY DETECTION OF ANOMALIES
A roadway condition monitoring system is configured to receive sensed data that is acquired by sensors that are mounted on vehicles that operate on a roadway. The sensed data includes values of parameters that characterize a roadway condition, including a pattern of travel of the vehicles along the roadway or a mapping of the roadway. A current roadway condition is calculated from the sensed data that is received during a current trip of the vehicles on a segment of the roadway, and the current roadway condition is compared with a nominal roadway condition. The calculation of the nominal roadway condition utilizes the sensed data that is received from the sensors during a plurality of trips of the vehicles on the segment. When an anomaly is detected in which the current roadway condition deviates from the nominal roadway condition, a notification of the detected anomaly is issued.