Abstract: Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

Abstract: Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

Abstract: Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

Abstract: A map, including potential obstacles, can be generated by a computing device in a vehicle. An estimated coefficient of friction between the vehicle wheels and a roadway surrounding a stuck vehicle can be generated based on sensor data. A path can be determined based on the map, and the stuck vehicle can be operated based on the path and a determined slip ratio based on the vehicle wheels to unstick the stuck vehicle.

Abstract: An autonomous vehicle controller includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include detecting that a host vehicle is on a low friction surface, generating a composite map representing locations of a plurality of high friction surfaces, selecting one of the plurality of high friction surfaces, and autonomously navigating the host vehicle to the selected high friction surface by executing a slip control process.

Abstract: A system for vehicle pitch control during braking includes a pitch component and a rebound component. The pitch component is configured to determine that a vehicle has a forward pitch during braking. The rebound component is configured to, in response to the vehicle achieving a substantially zero forward velocity, apply brake pressure to one or more non-driven wheels using one or more brakes and apply reverse torque to one or more driven wheels using a motor or engine.

Abstract: A request to collect and deliver a plurality of items of cargo is received. One or more predetermined classes for each item are identified. At least one source to provide the items is identified based at least in part on the classes. A route is determined to the source and to a delivery location for the items. One or more vehicle subsystems are actuated to move a vehicle along the route to the source and to the delivery location.

Abstract: An autonomous vehicle controller includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include detecting that a host vehicle is on a low friction surface, generating a composite map representing locations of a plurality of high friction surfaces, selecting one of the plurality of high friction surfaces, and autonomously navigating the host vehicle to the selected high friction surface by executing a slip control process.

Abstract: A map, including potential obstacles, can be generated by a computing device in a vehicle. An estimated coefficient of friction between the vehicle wheels and a roadway surrounding a stuck vehicle can be generated based on sensor data. A path can be determined based on the map, and the stuck vehicle can be operated based on the path and a determined slip ratio based on the vehicle wheels to unstick the stuck vehicle.

Abstract: Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

Abstract: A computer is programmed to, upon determining that a user has departed a vehicle, identify available parking spaces based at least in part on one of stored parking restrictions and vehicle sensor data. The computer is programmed to select one of the parking spaces based at least in part on a distance to a respective parking space and an environmental condition. The computer navigates the vehicle to park at the selected parking space.

Abstract: A system for vehicle pitch control during braking includes a pitch component and a rebound component. The pitch component is configured to determine that a vehicle has a forward pitch during braking. The rebound component is configured to, in response to the vehicle achieving a substantially zero forward velocity, apply brake pressure to one or more non-driven wheels using one or more brakes and apply reverse torque to one or more driven wheels using a motor or engine.