Abstract:
Aspects of the disclosure relate generally to detecting discrete actions by traveling vehicles. The features described improve the safety, use, driver experience, and performance of autonomously controlled vehicles by performing a behavior analysis on mobile objects in the vicinity of an autonomous vehicle. Specifically, an autonomous vehicle is capable of detecting and tracking nearby vehicles and is able to determine when these nearby vehicles have performed actions of interest by comparing their tracked movements with map data.
Abstract:
Example methods and systems for detecting weather conditions including wet surfaces using vehicle onboard sensors are provided. An example method includes receiving laser data collected for an environment of a vehicle. The method also includes determining laser data points that are associated with one or more objects in the environment, and based on laser data points being unassociated with the one or more objects in the environment, identifying an indication that a surface on which the vehicle travels is wet. The method may further include receiving radar data collected for the environment of the vehicle that is indicative of a presence of the one or more objects in the environment of the vehicle, and identifying the indication that the surface on which the vehicle travels is wet further based on laser data points being unassociated with the one or more objects in the environment indicated by the radar data.
Abstract:
A light detection and ranging device associated with an autonomous vehicle scans through a scanning zone while emitting light pulses and receives reflected signals corresponding to the light pulses. The reflected signals indicate a three-dimensional point map of the distribution of reflective points in the scanning zone. A radio detection and ranging device scans a region of the scanning zone corresponding to a reflective feature indicated by the three-dimensional point map. Solid objects are distinguished from non-solid reflective features on the basis of a reflected radio signal that corresponds to the reflective feature. Positions of features indicated by the reflected radio signals are projected to estimated positions during the scan with the light detection and ranging device according to relative motion of the radio-reflective features indicated by a frequency shift in the reflected radio signals.
Abstract:
Methods and systems for detecting weather conditions including fog using vehicle onboard sensors are provided. An example method includes receiving laser data collected from scans of an environment of a vehicle, and associating, by a computing device, laser data points of with one or more objects in the environment. The method also includes comparing laser data points that are unassociated with the one or more objects in the environment with stored laser data points representative of a pattern due to fog, and based on the comparison, identifying by the computing device an indication that a weather condition of the environment of the vehicle includes fog.
Abstract:
Methods and devices for estimating a heading of a target vehicle are disclosed. An example method may include determining a first point cloud representative of a location of a target vehicle at a first time period and a second point cloud representative of the location of the target vehicle at a second time period. Using a computing device, an initial comparison between the first point cloud and the second point cloud may be determined based on an estimate of a speed for the target vehicle and a time difference between the first time period and the second time period. Additionally, the initial comparison may be revised based on a minimization of a distance between points of the first point cloud and corresponding points of the second point cloud. An estimate of a heading of the target vehicle may then be determined based on the revised comparison.
Abstract:
Methods and systems for detecting weather conditions including sunlight using onboard vehicle sensors are described. In one example, a method is provided that includes receiving laser data collected for an environment of a vehicle. The method also includes associating laser data points with one or more objects in the environment, and determining given laser data points that are unassociated with the one or more objects in the environment as being representative of an untracked object at a given position with respect to the vehicle. The method also includes determining that the untracked object remains at a substantially same relative position with respect to the vehicle as the vehicle moves, and identifying by the computing device an indication that a weather condition of the environment of the vehicle is sunny.
Abstract:
Aspects of the disclosure relate generally to detecting road weather conditions. Vehicle sensors including a laser, precipitation sensors, and/or camera may be used to detect information such as the brightness of the road, variations in the brightness of the road, brightness of the world, current precipitation, as well as the detected height of the road. Information received from other sources such as networked based weather information (forecasts, radar, precipitation reports, etc.) may also be considered. The combination of the received and detected information may be used to estimate the probability of precipitation such as water, snow or ice in the roadway. This information may then be used to maneuver an autonomous vehicle (for steering, accelerating, or braking) or identify dangerous situations.
Abstract:
Methods and systems for detecting weather conditions including fog using vehicle onboard sensors are provided. An example method includes receiving laser data collected from scans of an environment of a vehicle, and associating, by a computing device, laser data points of with one or more objects in the environment. The method also includes comparing laser data points that are unassociated with the one or more objects in the environment with stored laser data points representative of a pattern due to fog, and based on the comparison, identifying by the computing device an indication that a weather condition of the environment of the vehicle includes fog.
Abstract:
Aspects of the disclosure relate generally to notifying a pedestrian of the intent of a self-driving vehicle. For example, the vehicle may include sensors which detect an object such as a pedestrian attempting or about to cross the roadway in front of the vehicle. The vehicle's computer may then determine the correct way to respond to the pedestrian. For example, the computer may determine that the vehicle should stop or slow down, yield, or stop if it is safe to do so. The vehicle may then provide a notification to the pedestrian of what the vehicle is going to or is currently doing. For example, the vehicle may include a physical signaling device, an electronic sign or lights, a speaker for providing audible notifications, etc.
Abstract:
Methods and systems for detecting weather conditions including sunlight using onboard vehicle sensors are described. In one example, a method is provided that includes receiving laser data collected for an environment of a vehicle. The method also includes associating laser data points with one or more objects in the environment, and determining given laser data points that are unassociated with the one or more objects in the environment as being representative of an untracked object at a given position with respect to the vehicle. The method also includes determining that the untracked object remains at a substantially same relative position with respect to the vehicle as the vehicle moves, and identifying by the computing device an indication that a weather condition of the environment of the vehicle is sunny.