Systems and methods are provided for crowdsourcing a sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium may include a sparse map for autonomous vehicle navigation along a road segment. The sparse map may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature, and wherein the road surface feature is identified through image analysis of a plurality of images acquired as one or more vehicles traverse the road segment and a plurality of landmarks associated with the road segment.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

Methods and systems of determining and controlling a vehicle travel speed on a roadway determine a grade of the roadway at defined intervals along the roadway; calculate a maximum straight line vehicle speed for each defined interval based on the determined grade and vehicle performance data; determine a radius of curvature and a superelevation of the roadway for each defined interval; determine a lateral friction coefficient for a vehicle/roadway system; calculate a maximum cornering vehicle speed for each defined interval based on the curvature, superelevation, and lateral friction coefficient; calculate the travel speed for each defined interval based on the maximum straight line vehicle speed and the maximum cornering vehicle speed; and control the speed of the vehicle so that it does not exceed the calculated travel speed for each defined interval.

Disclosed herein is a method and system for dynamically generating a secure navigation path for navigation of an autonomous vehicle. The method comprises detecting disproportional acceleration of the autonomous vehicle when the autonomous vehicle is navigating from a source point to a destination point based on a predefined trajectory plan. The method comprises determining direction values of the autonomous vehicle for reaching a secure path point in the predefined trajectory plan. Based on the determined direction values, distance values are determined. The method includes detecting position of the secure path point for navigation of the autonomous vehicle based on the determined direction values and the distance values. The present disclosure uses secure path point to realign the autonomous vehicle in the predefined trajectory plan to overcome the disproportional acceleration of the autonomous vehicle due to narrow roads, upward slope, or downward slope.

A method for improving the ride comfort of a transportation vehicle including planning a first driving route by a navigation system; automatically detecting at least one road parameter of the first driving route by a sensor system of the transportation vehicle; automatically evaluating the first driving route in view of the ride comfort of the first driving route by taking into account the road parameter; and in response thereto using the first driving route or planning an alternative driving route.

A system and method for determining a roadway bank angle based on vehicle information. The method may include the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle.

A traveling control section of a traveling vehicle is configured to effect a normal operation to control an output of an engine when a vehicle speed is below a set vehicle speed, such that the engine output may correspond to an operation amount of an accelerator operating tool and to effect an output suppressing operation when the vehicle speed is equals to or more than the set vehicle speed, such that the vehicle speed may stay below the set vehicle speed, irrespectively of the operation amount of the accelerator operating tool. A fuel ratio in an air-fuel ratio in the output suppressing operation is set smaller than a fuel ratio in an air-fuel ratio in the normal operation.

A collision avoidance system may validate, reject, or replace a trajectory generated to control a vehicle. The collision avoidance system may comprise a secondary perception component that may receive sensor data, receive and/or determine a corridor associated with operation of a vehicle, classify a portion of the sensor data associated with the corridor as either ground or an object, determine a position and/or velocity of at least the nearest object, determine a threshold distance associated with the vehicle, and control the vehicle based at least in part on the position and/or velocity of the nearest object and the threshold distance.

The present disclosure relates to a method for controlling a driveline of a vehicle, the driveline being operable in a plurality of driveline operating modes, wherein the driveline is configured to assume a current driveline operating mode basing its operation on topology data from a positioning system, each driveline operating mode being associated with a predefined driveline operating condition, wherein the method comprises obtaining a signal indicative of a loss of topology data; and controlling the driveline to change from the current driveline operating mode to an updated driveline operating mode providing an increased operational capacity of the driveline compared to the current driveline operating mode.

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.