A traffic indication information determining method includes: obtaining n pieces of first traffic indication information from n sensors, where the first traffic indication information is used to indicate traffic indication information of a traffic command target, the traffic indication information is used to provide a road traffic rule for a vehicle, and n is an integer greater than or equal to 1; and determining second traffic indication information based on the n pieces of first traffic indication information. In the method, the n pieces of first traffic indication information of the traffic command target are obtained based on the n sensors, and then the second traffic indication information used when the vehicle actually travels is determined based on the n pieces of first traffic indication information.

An object detection, tracking and alert system for use in connection with a waste collection vehicle is provided. The system can determine if an external moving object in the surrounding environment of the waste collection vehicle, such as another vehicle or a bicycle, is moving directly towards the waste collection vehicle, and then send one or more alerts to the driver and/or riders on the waste collection vehicle as well as any other waste collection vehicles in the surrounding area.

A vehicle collision avoidance and driver notification system includes an object detection unit configured to detect environmental obstacles and a collision detection unit for assessing risk of collision. Depending on risk assessment, a collision avoidance unit gives feedback to the driver or directly interacts with the vehicle engine.

In some examples, a system may receive, from at least one camera of a vehicle, at least one image including a road. The system may further receive vehicle location information including an indication of a location of the vehicle. In addition, the system may receive at least one of historical information from a historical database, or road anomaly information, where the road anomaly information is determined from at least one of a road anomaly database or real-time road anomaly detection. Based on the at least one image, the indication of the location of the vehicle, and the at least one of the historical information or the road anomaly information, the system may generate at least one of a disparity map or a disparity image.

One or more processors may be configured to determine one or more prospective routes of an ego vehicle being at least partially controlled by a human driver; receive first sensor data, representing one or more attributes of a second vehicle; determine a danger probability of the one or more prospective routes of the first vehicle using the at least the one or more attributes of the second vehicle from the first sensor data; and if each of the one or more prospective routes of the first vehicle has a danger probability outside of a predetermined range, send a signal representing a safety intervention. Whenever a safety intervention signal is sent, the one or more processors may be configured to increment or decrement a counter.

A navigation system for a host vehicle may include a processing device including circuitry and a memory storing instructions that when executed by the circuitry cause the at least one processing device to receive images acquired by a camera representative of an environment of the host vehicle, and analyze the images to identify a double merge scenario including a first flow of traffic and a second flows of traffic in a same direction that merge to form a merged flow of traffic in a merged lane. The instructions that when executed by the circuitry may further cause the processing device to cause a navigational change in the host vehicle based on a trajectory of a first target vehicle in the first flow of traffic and a trajectory of a second target vehicle in the second flow of traffic.

A system for providing traffic information to a driver of an ego vehicle includes at least one sensor that provides image data of detected objects, including other vehicles, in a surrounding area of the ego vehicle; a position detection device that detects a position of the ego vehicle; a display unit that renders visual information relating to an environmental model of the surrounding area of the ego vehicle, the position, and corresponding digital map data; and an image analysis unit configured to determine a vehicle characteristic of at least one other vehicle in the surrounding area of the ego vehicle from a vehicle image of the at least one other vehicle generated based on the image data from the at least one sensor and to display information on the display unit based on the determined vehicle characteristic.

A vehicle headlamp system includes a vehicle supported power and control system including a data bus. A sensor module can be connected to the data bus to provide information related to environmental conditions or information relating to presence and position of other vehicles and pedestrians. A separate headlamp controller can be connected to the vehicle supported power and control system and the sensor module through the bus. The headlamp controller can include an image frame buffer that can refresh held images at greater than 30 Hz speed. An active LED pixel array can be connected to the headlamp controller to project light according to a pattern and intensity defined by the image held in the image frame buffer and a standby image buffer can be connected to the image frame buffer to hold a default image.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a vehicle sensor object label, and a vehicle sensor confidence level for the vehicle sensor object label, by processing a vehicle sensor image with a neural network, determine a stationary sensor object label, and a stationary sensor confidence level for the stationary sensor object label, by processing a stationary sensor image with the neural network, and if the stationary sensor confidence level is greater than the vehicle sensor confidence level, operate a vehicle by determining a vehicle path based on the stationary sensor object label.

A head up display system of a vehicle includes: a communication module configured to receive a period until a traffic signal of an intersection of roads will change from a first state to a second state; a distance module configured to, based on the period and a present speed of the vehicle, determine a distance in front of the vehicle where the vehicle will be when the traffic signal transitions from the first state to the second state; a light source configured to, via a windshield of the vehicle, generate a virtual display that is visible within a passenger cabin of the vehicle; and a display control module configured to, based on the distance, control the light source to include, in the virtual display, a visual indicator of a location in a path of the vehicle where the traffic signal will transition from the first state to the second state.