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 vehicle recovery unit for use with an operating vehicle. The vehicle recovery unit has a frame, a mounting system coupled to the frame, a boom assembly, a pivoting horse head assembly coupled to the boom assembly, a winch, and a cable wound upon the winch. The frame has an angled front plate and a rear plate. The mounting system is configured for releasable attachment to the operating vehicle. The boom assembly is coupled to the frame and extends beyond the front plate of the frame.

A vehicle recovery unit for use with an operating vehicle. The vehicle recovery unit has a frame, a mounting system coupled to the frame, a boom assembly, a pivoting horse head assembly coupled to the boom assembly, a winch, and a cable wound upon the winch. The frame has an angled front plate and a rear plate. The mounting system is configured for releasable attachment to the operating vehicle. The boom assembly is coupled to the frame and extends beyond the front plate of the frame.

A towing dolly assembly includes a beam having first and second ends and a longitudinal axis, first and second spindle assemblies arranged at the first and second ends, respectively, and first and second axle cradle assemblies arranged adjacent to the first and second ends, respectively. The first and second spindle assemblies include first and second cam locks and first and second locking arms, respectively. The first and second cam locks are fixedly attached to a first side of the beam. The first locking arm is pivotable about a first axis extending perpendicular to the longitudinal axis between the first side and a second side of the beam. The second locking arm is pivotable about a second axis extending perpendicular to the longitudinal axis between the first and second sides of the beam.

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 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 communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

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.

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.

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.