A system determines a baseline of at least one route segment based on measurement data received from a plurality of vehicles. The system receives first measurement data of a first vehicle that has traveled along the at least one route segment, and compares the first measurement data to the baseline. Based on the comparing, the system determines whether operation of the first vehicle is within an acceptable tolerance of a performance criterion, and determines whether the at least one route segment is an undesirable route segment according to a route criterion.

A vehicle operating method comprising generating a base torque reserve for an engine based on a position of an accelerator pedal and a position rate of change of the accelerator pedal, where the base torque reserve is an air reserve of the engine generated by the engine. The base torque reserve may further be generated based on one or more of a drive mode, a vehicle altitude, a battery state of charge (SOC), and a transmission gear, in at least one example.

Systems and methods are provided for presenting in a hybrid electric vehicle display, proximate to or in some relation to each other, engine power usage, motor-generator power usage, and battery state of charge information. By combining the display of engine power usage, motor-generator power, and battery state of charge information, power distribution and related information may be presented to the operator of a vehicle to explain the vehicle's performance from a power split output and usage perspective. This can provide reassurance or confirmation that the vehicle is operating as it should, identify a problematic condition, etc.

A method for controlling a vehicle based on sensor data having variable sensor parameter settings includes receiving sensor data generated by a vehicle sensor while the sensor is configured with a first sensor parameter setting. The method also includes receiving an indicator specifying the first sensor parameter setting, and selecting, based on the received indicator, one of a plurality of neural networks of a perception component, each neural network having been trained using training data corresponding to a different sensor parameter setting. The method also includes generating signals descriptive of a current state of the environment using the selected neural network and based on the received sensor data. The method further includes generating driving decisions based on the signals descriptive of the current state of the environment, and causing one or more operational subsystems of the vehicle to maneuver the vehicle in accordance with the generated driving decisions.

System, methods, and other embodiments described herein relate to determining a location of a vehicle within a structure. In one embodiment, a method includes collecting, from at least one sensor in the vehicle, sensor data that indicates information associated with control of the vehicle in the structure. The method includes classifying gradients along a path of the vehicle through the structure according to the sensor data. The method includes identifying traversed levels of the structure along the path according to the gradients. The method includes providing the location including at least an indicator of the traversed levels as an electronic output.

A system for adaptive in-drive updating, for a vehicle travelling on a route, includes a controller having a processor and tangible, non-transitory memory. The vehicle is carrying a load. The controller is adapted to obtain one or more dynamic parameters pertaining to the load. A plurality of adaptive predictors is selectively executable by the controller at a timepoint during the route at which a completed portion of the route has been traversed by the vehicle and a remaining portion remains untraversed. The plurality of adaptive predictors includes a speed predictor configured to generate a global speed profile. The plurality of adaptive predictors includes a driving consumption predictor is configured to predict a driving consumption profile for the remaining portion of the route based in part on the dynamic parameter, the route features, the global speed profile, and a past drive consumption.

An apparatus for controlling optimization of a charging amount of a battery for a vehicle charged with external power includes: a map storage, a position detector, and a controller to control the map storage and the position detector. The controller acquires a current position of the vehicle when a driver's desired charging setting value is input, acquires altitude information of topography corresponding to a driving path, calculates a gain charging amount in an uphill or downhill section on the driving path based on the altitude information, calculates an optimum charging setting value based on the driver's desired charging setting value and the gain charging amount, calculates a final target charging amount based on the optimum charging setting value and a current residual charging amount, and performs optimum charging of the battery.

A vehicle driving controller includes a determination device that identifies a change in location of a reference interval. The reference interval has a certain magnitude value in power spectrum data received from a radar sensor, which detects a preceding vehicle in front of a host vehicle and determines whether there occurs an altitude difference between the host vehicle and the preceding vehicle based on the change in the location of the reference interval. The driving controller includes a correction device that corrects a power spectrum using a virtual layer when it is determined that the altitude difference exists between the host vehicle and the preceding vehicle. The driving controller includes a controller that controls the driving of the host vehicle based on the corrected spectrum.

A vehicle driving controller includes a determination device that identifies a change in location of a reference interval. The reference interval has a certain magnitude value in power spectrum data received from a radar sensor, which detects a preceding vehicle in front of a host vehicle and determines whether there occurs an altitude difference between the host vehicle and the preceding vehicle based on the change in the location of the reference interval. The driving controller includes a correction device that corrects a power spectrum using a virtual layer when it is determined that the altitude difference exists between the host vehicle and the preceding vehicle. The driving controller includes a controller that controls the driving of the host vehicle based on the corrected spectrum.

A vehicular road type recognition system analyzes data relating to road condition from sensors. The system determines an estimate or a correction of vehicle range, vehicle maximum safe speed, or vehicle braking distance.