A system for estimating an articulation angle between a first and a second connected vehicle section of an articulated vehicle combination, the system comprising a primary image obtaining device configured to be mounted on a first position of one of the vehicle sections and to obtain images of the other vehicle section during use; a secondary image obtaining device configured to be mounted on a second position of one of the vehicle sections and to obtain images of the other vehicle section during use, the second position being different from the first position, and/or a mounting orientation at the second position of the second image obtaining device being different from a mounting orientation at the first position of the primary image obtaining device.

Systems, methods, and other embodiments described herein relate to generating depth estimates of an environment depicted in a monocular image. In one embodiment, a method includes identifying semantic features in the monocular image according to a semantic model. The method includes injecting the semantic features into a depth model using pixel-adaptive convolutions. The method includes generating a depth map from the monocular image using the depth model that is guided by the semantic features. The pixel-adaptive convolutions are integrated into a decoder of the depth model. The method includes providing the depth map as the depth estimates for the monocular image.

A method for autonomously parking a vehicle-trailer system is provided. The method includes receiving sensor system data from a sensor system supported by the vehicle. The sensor system data includes images of surroundings along a driving path of the vehicle-trailer system. The method includes determining a local map based on the sensor system data. The local map includes surroundings along the driving path. The method includes receiving a user selection of an image location within the images. The image location representing a position in the local map associated with a selected location within the surroundings. The method includes determining a parking path from a current location of the vehicle-trailer system to the position based on the local map and instructing a drive system to execute an autonomous parking behavior causing the vehicle-trailer system to autonomously drive along the parking path and autonomously park in the selected location.

A method includes, while detecting a continuous motion input in a first region of a touchscreen of a portable device in communication with a vehicle, detecting a steering input from a second region of the touchscreen, and actuating a steering component of the vehicle based on the steering input.

The technology relates to determining whether a vehicle operating in an autonomous driving mode is experiencing an anomalous condition, for instance due to a loss of tire pressure, a mechanical failure, or a shift or loss of cargo. The actual current pose of the vehicle is compared to an expected pose of the vehicle, where the expected pose is based on a model of the vehicle. If a pose discrepancy is identified, the anomalous condition is determined from information associated with the pose discrepancy. The vehicle is then able to take corrective action based on the nature of the anomalous condition. The corrective action may include making a real-time driving change, modifying a planned route, alerting a remote operations center, or communicating with one or more other vehicles.

Systems and methods for managing environmental conditions for an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes a perception sensor configured to generate perception data indicative of a condition of the environment, a network communication transceiver configured to communicate with an oversight system and an external weather condition source, a non-transitory computer readable medium, and a processor. The processor is configured to: receive the perception data from the at least one perception sensor, receive an indication of current weather conditions from the external weather condition source, determine a current environmental condition severity level from a plurality of severity levels based on the perception data and the indication of current weather conditions, modify one or more driving parameters that that govern a range of actions that can be autonomously executed by the autonomous vehicle, and navigate the autonomous vehicle based on the modified driving parameters.

Provided herein is an auxiliary hybrid system (AHS) that may be configured to provide electrical propulsion to an e.g., internal combustion-powered vehicle through the use of a battery and electric motor. Alternatively, the AHS may be configured to increase range to electric vehicles through the use of an internal combustion-powered generator. In either embodiment, the AHS is added to a vehicle without altering the operation of the vehicles standard drivetrain, allowing the vehicle to operate conventionally when the AHS is not engaged. The AHS is compatible with a wide range of vehicles with a minimum of vehicle-specific parts.

Systems and methods for operating a vehicle during a remote trailer parking operation include receiving, via a processor, a control instruction from a first mobile device indicative of a first curvature command providing directional control of a vehicle, and a first user engagement indicator. The processor may receive, from a second mobile device, a second control instruction from a second mobile device, the second control instruction can include a second user engagement indicator. The system may determine, based on the first user engagement indicator that first user engagement meets a threshold, and determine, based on the second user engagement indicator that second user engagement meets a threshold. Responsive to determining user engagement with the trailer parking procedure, the processor may cause a vehicle controller to operate the vehicle to park a trailer pivotably disposed with the vehicle based on the first curvature command, the first user engagement indicator, and the second user engagement indicator, to complete a remote trailer parking operation.

A system comprises an autonomous vehicle (AV) and a control device operably coupled with the AV. The control device detects a series of events within a threshold period of time, where a number of series of events in the series of events is above a threshold number. The series of events taken in the aggregate within the threshold period of time deviates from a normalcy mode. The normalcy mode comprises events that are expected to the encountered by the AV. The control device determines whether the series of events corresponds to a malicious event, where the malicious event indicates tampering with the AV. In response to determining that the series of events corresponds to the malicious event, the series of events are escalated to be addressed.

A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a truck, a tractor unit, a trailer, a tractor-trailer configuration, at a tandem, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.