An apparatus for validating a position or an orientation of one or more sensors of an autonomous vehicle is provided. The one or more sensors provide consecutive sensor data of surroundings of the vehicle. The apparatus includes a validation module, which is configured to compare the consecutive sensor data and to validate a position or an orientation of at least one sensor of the one or more sensors, based on a deviation in the consecutive sensor data.

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 trailer, a tractor-trailer configuration, 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.

A Level IV fuel-saving robot system for ACE HDTs of the present disclosure focuses on the minimization of actual fuel consumption (L/100 km) for long-haul freight at first based on an electrical power split device (cPSD) and a mixed hybrid powertrain architecture. A basic model Level I fuel-saving robot realizes a longitudinal L1 automatic driving function through a predictive adaptive cruise (PACC) technology within an Operational Design Domain (ODD) for highways and reduces the actual fuel consumption of an ACE HDT by more than 20% compared with modern diesel HDTs, and the energy-saving and emission-reducing effect of the basic model Level I fuel-saving robot is decoupled from both the technical level of a vehicle engine and the driving level of a driver; an advanced Level IV fuel-saving robot has a IA automatic driving function within the ODD for highways, operates in a “shadow mode” or “detached mode”, automatically generates a discrepancy report or detachment report, completes the “3R.” batch validation for an L4 system on a billion mile scale quickly with high cost effectiveness on the premise of ensuring the traffic safety of existing road users and reduces the total validation expense by more than 65% compared with the modern HDT with internal combustion engine equipped with the L4 system, promoting the early commercialization of the Level IV fuel-saving robot.

Sensor data indicating a substantially 360 degree surrounding of a vehicle is received via a processor included in the vehicle. The sensor data is collected using multiple sensors included in the vehicle. Additionally, an acceptable response time range for a driver of the vehicle to perform an action with the vehicle is obtained, via the processor, based on the sensor data. Additionally, an actual response time for the driver to perform the action is determined, via the processor, based on CAN data collected from a CAN bus included in the vehicle, and not based on the sensor data. Additionally, a determination is made, via the processor, that the actual response time is not within the acceptable response time range. Additionally, a remedial action is caused, via the processor, to be performed in response to the determining that the actual response time is not within the acceptable response time range.

To provide a power regeneration system for a working vehicle that can effectively use a regenerative electric energy. A first electric circuit for supplying an electric power generated by the first generator to a traveling motor, a voltage detector for detecting an actual voltage of the first electric circuit, a second electric circuit for supplying an electric power generated by a second generator to an auxiliary device, a step-down device connected to the first electric circuit and the second electric circuit, and a controller are provided. The controller estimates the voltage of the first electric circuit after a predetermined time has elapsed from the present time, based on information on a traveling state of a work vehicle and the actual voltage detected by the voltage detector, and outputs a drive command to the step-down device when the estimated voltage is equal to or more than a threshold.

A power regeneration device 21 that converts the power of a main engine DC line 16 connected to a main engine power generator 12 through a rectification circuit 14 to supply the converted power to an accessory DC line 34 connected to an accessory power generator 31 through a rectification circuit 32 includes a plurality of power conversion modules 221 to 22N configured such that input sections 221a to 22Na are connected in series. The main engine power generator 12 and a power consumption device 15 are controlled such that a voltage input to the power regeneration device 21 does not exceed a voltage upper limit value Vm and a portion between a positive electrode terminal (+) and a negative electrode terminal (−) of each of the input sections of the power conversion modules to be stopped is short-circuited by a bypass device and the voltage upper limit value Vm is decreased when some of the plurality of power conversion modules 221 to 22N are stopped. With this configuration, operational continuity can be improved while a device size increase is prevented.

A vehicle body management system for managing a vehicle body having a power train formed by a plurality of parts including a prime mover, the vehicle body management system including: a processing device that computes an efficiency value of a monitoring target, the monitoring target being the power train or a part or a subsystem of the power train, on the basis of information about the vehicle body, the information being sensed by a sensor provided to the vehicle body; and an output terminal that outputs the efficiency value of the monitoring target, the efficiency value being computed by the processing device, the processing device computing a load parameter of the power train, determining whether the load parameter is larger than a load determination value set in advance, computing the efficiency value of the monitoring target on the basis of input energy and output energy of the monitoring target on condition that the load parameter be larger than the load determination value, and recording the computed efficiency value of the monitoring target.

An unmanned vehicle control system includes a travel control unit that outputs a start command for starting the unmanned vehicle, and a management area setting unit that sets a management area where the unmanned vehicle is allowed to move when it is determined that the unmanned vehicle does not start in spite of the start command. The travel control unit outputs an escape command for causing the traveling device of the unmanned vehicle to perform an escape operation in a state where the unmanned vehicle is restricted from moving to the outside of the management area.

The disclosed technology enables an in-vehicle control computer located in a vehicle to perform localization techniques to control a driving related operation of the vehicle. An example method to control a vehicle includes determining, by a computer located in a vehicle, a first characteristic of a first object from an image obtained by a camera located on the vehicle while the vehicle is operated on a road; determining whether the first characteristic of the first object matches a second characteristic of a second object obtained from a high-definition map stored in the computer; and sending, in response to determining that the first characteristic of the first object does not match the second characteristic of the second object, instructions that cause the vehicle to steer along a first trajectory to a side of the road and to apply brakes.

In an embodiment, a processor is configured to perform, while a vehicle is driving in an uncontrolled environment, a self-calibration routine for each sensor from the plurality of sensors to determine at least one calibration parameter value associated with that sensor. The processor is further configured to determine, while the vehicle is driving in the uncontrolled environment, and automatically in response to performing the self-calibration routine, that at least one sensor from the plurality of sensors has moved and/or is inoperative based on the at least one calibration parameter value associated with the at least one sensor being outside a predetermined acceptable range. The processor is further configured to perform, in response to determining that at least one sensor from the plurality of sensors has moved and/or is inoperative, at least one remedial action at the vehicle while the vehicle is driving in the uncontrolled environment.