A recovery system for recovering wrecked vehicles in difficult-to-access locations generally includes a frame, a front plate, a rear plate with a mounting system for mounting the recovery system to an operating vehicle, a guide shaft and guide wheel, a boom assembly, a horse head assembly mounted in a cable sleeve in a pivot end of the boom assembly, a winch, and a cable running from the winch over and along the boom and through the horse head assembly. The horse head assembly generally includes a clevis, a clevis pin, a sheave wheel, and a cable guide. The clevis preferably rotates within the cable sleeve with respect to the boom assembly, the cable guide preferably pivots on top of the boom assembly, and the sheave wheel and cable guide preferably freely rotate on the clevis pin and preferably translate along the clevis pin.

A wheel grid includes a crossbar configured to be coupled to a boom of a tow vehicle and including a distal tip. The wheel grid further includes an L-arm rotatably coupled to the crossbar at a proximal end of the L-arm and configured to rotate from an engaged position to a stowed position. As the L-arm rotates from the engaged position to the stowed position, a distal portion of the L-arm intersects with a vertical line passing through the respective left or right distal tip of the crossbar. In the stowed position, the distal portion of the L-arm is positioned laterally inward relative to the distal tip of the crossbar.

An attachment system for attaching an external component to a chassis of a vehicle, such as components for performing snow clearance, road measurements, road surface marking assemblies, transport of vehicles or gear, including salvaging work and transport of heavy-duty vehicles is disclosed. The attachment system includes a connection element for interconnecting with the external component, a cross-bar fastening element for fastening a cross-bar to the attachment device, and a cross-bar support element arranged to support the cross-bar when fixated to the attachment device.

A steerable carriage for moving a wheeled object comprising at least one engagement device (3) configured to engage with and elevate a wheel (5) of the wheeled object off the ground such that the wheeled object can be moved upon displacement of the carriage by transmitting a propulsion force from the carriage to the wheeled object via the at least one engagement device, wherein the at least one engagement device comprises: a support device (12), an actuating device (13) movable with respect to the support device such as to cause the wheel to roll forward onto the support device and be held by the support device and the actuating device, wherein the support device comprises: a stopping member (18) movable between a folded position and a stopping position in which it is configured to stop forward motion of the wheel, and an activation member (23) configured to cause the stopping member to move from the folded position to the stopping position when the wheel is rolled onto the support device.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous electric vehicles may be automatically recharged by routing the vehicles to available charging stations when not in operation, according to methods described herein. A charge level of the battery of an autonomous electric vehicle may be monitored until it reaches a recharging threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to recharge may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a charging station, recharge the battery, and return to its starting location in order to recharge when not in use.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Methods and systems for autonomous and semi-autonomous vehicle control relating to malfunctions are disclosed. Malfunctioning sensors or software of autonomous vehicles may be identified from operating data of the vehicle, and a component maintenance requirement status associated with such malfunctioning component may be generated. Based upon such status, usage restrictions may be enacted to limit operation of the vehicle while the component is malfunctioning. This may include disabling or restricting use of certain autonomous or semi-autonomous features of the vehicle until the component is repaired or replaced. Repair may be accomplished by automatically scheduling repair of the vehicle or installing an updated or uncorrupted version of a software program, in various embodiments.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

A vehicle tow assembly includes an elongated, rigid upper member that attaches to a tow vehicle, and a rigid, elongated lower member that attaches, using U-bolts and/or a chain, to a vehicle to be towed. A downwardly-slanting connecting member connects the upper and lower members such that the upper member is higher off the ground than the lower member. A saddle block on the upper member can be turned one way to engage the fifth wheel of the tow vehicle and can be flipped 180 degrees to engage the frame of the tow vehicle when no fifth wheel is present.