A three-dimensional grid model of a traffic scene can be determined based on grid elements. Weights can be determined for the grid elements of the three-dimensional grid model corresponding to priority regions and occluded grid elements. Grid coverage for respective stationary sensors can be determined based on the grid elements of the three-dimensional grid model. A matrix can be determined based on the grid coverage of the plurality of stationary sensors. An optimal subset of stationary sensors can be determined based on applying a greedy search algorithm to the matrix, the weights and costs corresponding to the plurality of stationary sensors to maximize the ratio of grid coverage to the cost based on poses of the plurality of stationary sensors.

An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

Embodiments of the present disclosure disclose a vehicle fault processing method, a device and a medium, and relate to the field of autonomous driving technologies. The vehicle fault processing method includes: obtaining operating index data of a target vehicle and driving environment information of the target vehicle, the operating index data being configured to determine an operating condition of the target vehicle; determining whether a fault occurs in the target vehicle based on the operating index data; and when a fault occurs in the target vehicle, controlling the target vehicle to place a warning sign at a preset position based on the driving environment information.

Embodiments of the present disclosure disclose a vehicle fault processing method, a device and a medium, and relate to the field of autonomous driving technologies. The vehicle fault processing method includes: obtaining operating index data of a target vehicle and driving environment information of the target vehicle, the operating index data being configured to determine an operating condition of the target vehicle; determining whether a fault occurs in the target vehicle based on the operating index data; and when a fault occurs in the target vehicle, controlling the target vehicle to place a warning sign at a preset position based on the driving environment information.

A system for automatic controlling of sonic and visual warnings on a vehicle is provided. The system uses a controller and software configured to the task of initiating sonic and light emission warnings of vehicle movement to surrounding workers in the area of the vehicle. Signals from engaged light and sound sensors may be employed to alter the sonic warnings to a more easily heard frequency and the light emitted warnings to a more easily seen color and brightness.

Disclosed is a system, computer program product and computer-implemented method for smog analysis which provides sending a data collection signal to one or more vehicles including one or more sensors via a base station, receiving data from the one or more vehicles, including sensor data, analyzing the received data for determining a smog status, and sending traffic information to a plurality of vehicles. The traffic information may include the determined smog status and the plurality of vehicles may include the one or more vehicles.

Disclosed is a system, computer program product and computer-implemented method for smog analysis which provides sending a data collection signal to one or more vehicles including one or more sensors via a base station, receiving data from the one or more vehicles, including sensor data, analyzing the received data for determining a smog status, and sending traffic information to a plurality of vehicles. The traffic information may include the determined smog status and the plurality of vehicles may include the one or more vehicles.

An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.