Patent classifications
G01S2013/93273
Systems and Methods for Streaming Processing for Autonomous Vehicles
Generally, the present disclosure is directed to systems and methods for streaming processing within one or more systems of an autonomy computing system. When an update for a particular object or region of interest is received by a given system, the system can control transmission of data associated with the update as well as a determination of other aspects by the given system. For example, the system can determine based on a received update for a particular aspect and a priority classification and/or interaction classification determined for that aspect whether data associated with the update should be transmitted to a subsequent system before waiting for other updates to arrive.
Vehicle sensing systems including retractable mounting structures
A vehicular sensing system, a vehicle and a method of performing one or both of vehicular mapping and navigating operations using the sensing system. The sensing system includes one or more sensors, a retractable mounting structure secured to a roof of the vehicle to be selectively placed within a recess formed in the roof. The mounting structure and sensor cooperative with one another such that the mounting structure selectively moves the sensor between a stowed position and a deployed position. A fairing is used to cover at least a portion of the sensing system and the recess when the sensing system is stowed within the recess. In a deployed position, the sensor is extended away from the roof to permit the sensor to acquire mapping or navigation data, while in its stowed position, the sensor, mounting structure and fairing define aesthetically-pleasing and aerodynamically unobtrusive profile across the portion of the roof that corresponds to the recess.
SYSTEMS AND METHODS FOR RADAR-BASED LOCALIZATION
A method and system for localization of a ground-based vehicle or moving object within an environment. The system acquires radar map data from a radar system and compares the radar map data to reference map data. The position of the vehicle or moving object is then obtained by matching the radar map data to the reference map data.
COMMUNICATION DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM
A communication device comprising: a wireless communication section; and a control section configured to correlate a first signal with a second signal from another communication device at a designated interval, convert a data matrix including an array of a plurality of correlation computation results into a format including a matrix product of an expanded modal matrix and an expanded signal matrix, estimate the expanded signal matrix that minimizes a predetermined norm, and estimate reception time of the second signal on a basis of the expanded signal matrix that minimizes the predetermined norm.
SENSOR APPARATUS WITH CLEANING
A sensor apparatus includes a base, a nozzle positioned in the base and rotatable relative to the base, an extension arm elongated from a first portion to a second portion, and a fluid source fluidly connected to the nozzle. The first portion is fixed to the nozzle, and the second portion is spaced from the nozzle. Pressurizing the fluid source applies force to the second portion of the extension arm.
SYSTEMS AND METHODS FOR ADAPTIVE SENSOR ANGLE POSITIONING IN VEHICLES
A system and method are provided and include a subject vehicle having a sensor that senses information about an environment of the subject vehicle. An actuator rotates the sensor according to a commanded angle. A controller determines a position and a trajectory path of the subject vehicle, determines an adaptive point along the determined trajectory path based on the position, and generates the commanded angle for the actuator to rotate the sensor towards the adaptive point.
Wireless Overhead Clearance Warning System
A system for warning a driver of a cargo container transport vehicle to intervene in the case of an impending overhead collision with low clearance infrastructure. Examples of container/transport systems include but are not limited to a single-unit truck, a truck/semi-trailer combination or a vehicle pulling a hitched cargo container such as a camper, horse transporter, or moving container.
Radar Mounting Estimation with Unstructured Data
The present application describes a method including transmitting at least two radar signals by a radar unit of a vehicle, where a first signal is transmitted from a first location and a second signal is transmitted from a second location. The method also includes receiving a respective reflection signal associated with each of the transmitted signals. Additionally, the method includes determining, by a processor, at least one stationary object that caused a reflection. Further, the method includes based on the determined stationary object, determining, by the processor, an offset for the radar unit. The method yet further includes operating the radar unit based on the determined offset. Furthermore, the method includes controlling an autonomous vehicle based on the radar unit being operated with the determined offset.
Emergency braking for autonomous vehicles
Aspects of the disclosure provide for generation of trajectories for a vehicle driving in an autonomous driving mode. For instance, information identifying a plurality of objects in the vehicle's environment and a confidence value for each of the objects is received. A set of constraints may be generated. That one or more processors are unable to solve for a trajectory given the set of constraints and an acceptable braking limit may be determined. A first constraint is identified as a constraint for which could not be solved and a first confidence value. That the vehicle should apply a maximum braking level is determined based on the identified first confidence value, a threshold, and the determination that the one or more processors are unable to solve for a trajectory. Based on the determination that the vehicle should apply the maximum braking level, the maximum braking level is applied.
Efficient autonomous trucks
The technology relates to enhancing the operation of autonomous vehicles. Extendible sensors are deployed based on detected or predicted conditions around a vehicle while operating in a self-driving mode. When not needed, the sensors are fully retracted into the vehicle to reduce drag and increase fuel economy. When the onboard system determines that there is a need for a deployable sensor, such as to enhance the field of view of the perception system, the sensor is extended in a predetermined manner. The deployment may depend on one or more operating conditions and/or particular driving scenarios. These and other sensors of the vehicle may be protected with a rugged housing, for instance to protect against damage from the elements. And in other situations, deployable foils may extend from the vehicle's chassis to increase drag and enhance braking. This may be helpful for large trucks in steep descent situations.