Route planning is provided to a vehicle (or vehicle driver) based at least in part on the type of vehicle and the terrain conditions between the originating location and destination. The vehicle may employ a terrain monitoring system including a surface-penetrating radar (SPR) system for obtaining SPR signals as the vehicle travels along a route; the obtained SPR signals may be used for navigation against reference images associated with the route. In some embodiments, a navigation server bases route selection in part on the terrain associated with various routes and characteristics of the vehicle.

Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.

Provided are methods for thermal sensor data vehicle perception, which can include obtaining thermal sensor data, obtaining non-thermal sensor data, and determining, based on the thermal sensor data and the non-thermal sensor data, a perception parameter indicative of an object. Some methods described also include generating a trajectory for an autonomous vehicle. Systems and computer program products are also provided.

The disclosed technology provides solutions for validating operation of a sensor assembly by performing an assembly test. In some aspects, a process of performing the assembly test includes steps for collecting motor controller measurements, wherein the motor controller measurements include an amount of current supplied to a motor coupled when performing a sensor sweep, calculating an average current drawn by the motor based on the current measurements, and calculating a peak current drawn by the motor based on the current measurements. In some aspects, the process can further include steps for determining if the sensor assembly passes the sensor assembly test based on the average current drawn and the peak current drawn. Systems and machine-readable media are also provided.

According to an aspect of the present disclosure, a collision warning apparatus of a vehicle may include an information acquisition device that obtains surrounding object information and vehicle information and a controller that generates collision prediction information of a surrounding object based on the surrounding object information and the vehicle information and provides a warning to an outside of the vehicle or generates control information for controlling braking of the vehicle while providing the warning to the outside of the vehicle based on the collision prediction information.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

A system for estimating a trajectory of a vehicle includes vehicle state sensors detecting a state of movement of the vehicle and environment sensors monitoring an environment of the vehicle. A free space module determines a free space corridor based on the detected state of movement of the vehicle and the monitored environment of the vehicle. A goal point determination module determines at least one goal point for the trajectory to be estimated based on the free space corridor. A trajectory planning module estimates a reference trajectory based on the at least one goal point and calculates a deviation between an actual trajectory and the reference trajectory of the vehicle. A trajectory control module minimizes the deviation between the actual trajectory and the reference trajectory of the vehicle and outputs optimal control parameters for the movement of the vehicle based on the minimized deviation.

Path generation apparatus configured to generate target travel path of own vehicle traveling in travel lane, includes: external sensor mounted on own vehicle and configured to detect external situation centered on advancing direction of own vehicle; vehicle speed sensor configured to detect travel speed of own vehicle; and electronic control unit including processor and memory coupled to processor. Electronic control unit is configured to perform: setting target passing point on travel lane based on external situation; and generating target travel path from current location point of own vehicle to target passing point. Setting target passing point includes setting target passing point after predetermined time period when travel speed is equal to or higher than predetermined value, while setting target passing point to predetermined distance ahead from current location point when travel speed is lower than predetermined value.

Path generation apparatus configured to generate target travel path of vehicle, includes: external sensor mounted on vehicle and configured to detect external situation centered on advancing direction of vehicle; and electronic control unit including processor and memory coupled to processor. Electronic control unit is configured to perform: recognizing travel lane where vehicle travels based on external situation detected by external sensor; deriving first function representing travel path along center of travel lane; calculating curvature radius of travel lane; determining offset amount to be offset inward in turning direction from center of travel lane based on curvature radius; and deriving second function representing target travel path of vehicle that has been offset based on first function and offset amount.

A control system for a mobile object includes: a first sensor; a second sensor, different from the first sensor, that is mounted in the mobile object and is configured to detect an object by causing the mobile object to contact or approach the object; and a control device configured to recognize circumstances of the mobile object on the basis of a detection result from the first sensor and to control movement of the mobile object on the basis of the circumstances. The control device assumes that a second object which is not recognizable or hard to recognize is present at a reference position which is determined on the basis of a position of a prescribed first object when the first object has been recognized and causes the mobile object to move to a position at which the second sensor is able to detect the second object.