The disclosure relates to a method for making sensor data more robust to adversarial perturbations, wherein sensor data are obtained from at least two sensors, wherein the sensor data obtained from the at least two sensors are replaced in each case piecewise by means of quilting, wherein the piecewise replacement is carried out in such a way that the respectively replaced sensor data from different sensors are plausible relative to one another, and wherein the sensor data replaced piecewise are output.

Systems and methods for monitoring the lane of an object in an environment of an autonomous vehicle are disclosed. The methods include receiving sensor data corresponding to the object, and assigning an instantaneous probability to each of a plurality of lanes based on the sensor data as a measure of likelihood that the object is in that lane at a current time. The methods also include generating a transition matrix for each of the plurality of lanes that encode one or more probabilities that the object transitioned to that lane from another lane in the environment or from that lane to another lane in the environment at the current time. The methods then include determining an assigned probability associated with each of the plurality of lanes based on the instantaneous probability and the transition matrix as a measure of likelihood of the object occupying that lane at the current time.

A sensor, including at least one transducer for emitting signals and for receiving reflected echo signals, the transducer being set up to output an analog measuring signal, an analog-to-digital converter for converting the analog measuring signal into a digital measuring signal, an evaluation unit for evaluating the digital measuring signal, and a communication unit for transmitting a measuring result of the evaluation via a digital communication interface. The communication unit is equipped to receive a request for diagnostic data via the digital communication interface, and is also equipped to switch the sensor to diagnostic operation and to transmit requested diagnostic data via the digital communication interface. The communication unit is set up to communicate with at least two different data rates via the digital communication interface, a higher data rate being used for transmitting the diagnostic data than for transmitting the measuring result during normal operation of the sensor.

A method and a device for providing an operating state of a sensor of a vehicle. The method includes detecting first environment data values using the sensor, the first environment data values representing an environment of the vehicle, receiving second environment data values, which represent the environment of the vehicle, the second environment data values being detected by an infrastructure sensor system, determining the operating state of the sensor as a function of the first and the second environment data values, and providing the operating state of the sensor.

A technique for tracking objects includes: determining a set of detected measurements based on a received return signal; determining a group that includes a set of group measurements and a set of group tracks; creating a merged factor, including a merged set of track state hypotheses associated with a merged set of existing tracks including a first set of existing tracks and a second set of existing tracks, by calculating the cross-product of a first set of previous track state hypotheses and a second set of previous track state hypotheses; determining a first new factor and a second new factor; calculating a first set of new track state hypotheses for the first new factor based on a first subset of the group measurements; and calculating a second set of new track state hypotheses for the second new factor based on a second subset of the group measurements.

An object information acquisition unit acquires object information including an object distance between a radar device and a reflection object and an object azimuth angle at which the reflection object is located. A roadside object extraction unit extracts roadside object information on a roadside object from the object information. An axis deviation angle estimation unit estimates a vertical axis deviation angle from the roadside object information. The vertical axis deviation angle is an angle of deviation of an actual mounting direction from a reference mounting direction in a vertical direction. The actual mounting direction is an actual direction of the radar device, and the reference mounting direction is a direction of the radar device when the radar device is mounted in a reference state.

Disclosed is an obstacle detection system of a vehicle. The obstacle detection system includes a driving information unit configured to calculate driving position information of the vehicle, a determiner configured to anticipate whether or not the vehicle will enter a joining point where the vehicle meets a target road to be joined based on the driving position information calculated by the driving information unit, a sensing unit configured to sense obstacles located beside the vehicle, and a controller configured to change a sensing range of the sensing unit so as to detect an obstacle moving on the target road to be joined, when the determiner anticipates that the vehicle will enter the joining point.

An apparatus includes a processor configured to be disposed with a vehicle and a memory coupled to the processor. The memory stores instructions to cause the processor to receive, at least two of: radar data, camera data, lidar data, or sonar data. The sensor data is associated with a predefined region of a vicinity of the vehicle while the vehicle is traveling during a first time period. At least a portion of the vehicle is positioned within the predefined region during the first time period. The method also includes detecting that no other vehicle is present within the predefined region. An environment of the vehicle during the first time period is classified as one state from a set of states that includes at least one of dry, light rain, heavy rain, light snow, or heavy snow, based on at least two of the sensor data to produce an environment classification. An operational parameter of the vehicle based on the environment classification is modified.

A sensor assembly can include a housing that includes a view pane and a mounting feature configured to replace a trailer light of a cargo trailer of a semi-trailer truck. The sensor assembly can also include a lighting element mounted within the housing to selectively generate light, and a sensor mounted within the housing and having a field of view through the view pane. The sensor assembly can also include a communication interface configured to transmit sensor data from the sensor to a control system of the self-driving tractor.

A sensor unit for a vehicle includes an external sensor, a cleaning nozzle and a housing. The external sensor is configured to obtain information of an external environment, and to have a sensing area being set forward in a travel direction of the vehicle through an exposed surface exposed to the external environment. The cleaning nozzle has an injection port that is located in front of the exposed surface to inject a cleaning fluid to the exposed surface from above of the exposed surface in a yaw axis direction of the vehicle to clean the exposed surface. The housing is provided to hold the external sensor therein. The housing is configured to define a recess that is recessed toward a rearward in the travel direction from the exposed surface below the exposed surface in the yaw axis direction.