An apparatus for testing a side collision with a vehicle body connects between a side carriage for testing a side collision and a side structure which includes a roof rail part configured to be connected to an upper portion of the side carriage, a side sill part configured to be connected to a side lower part of the side carriage, and a pillar part configured to connect between the roof rail part and the side sill part and be connected to a pillar of the side carriage. The side carriage is connected to the side structure while forming a space between the side carriage and the side structure.

A system includes an onboard device and a ground device. The onboard device incorporates a geolocation device, a plurality of sensors and at least one shaping module for the raw measurement signals delivered by one or more of the sensors to generate at least one formatted signal. The ground device incorporates a computer able to analyze the at least one formatted signal, to generate at least one indicator relative to the track and/or the rolling stock, the indicator making it possible to detect a damage and monitor variations of the damage so as to optimize maintenance of the track and/or rolling stock. The computer is a damage module able to compute the indicator from the at least one formatted signal and a model of the type of the damage monitored.

The different advantageous embodiments provide an apparatus comprising a number of landing gear components for a vehicle, a number of systems, and a number of processor units. The number of systems is configured to generate data about the number of landing gear components and the vehicle. The number of processor units is configured to monitor the data and manage health of the number of landing gear components.

Computing systems for vehicle diagnostics are provided. In accordance with some aspects, a computing system may receive, from a vehicle (e.g., from a computing device installed in and/or at the vehicle), a diagnostic code generated by an on-board diagnostic (OBD) system of the vehicle. The computing system may determine an issue with the vehicle based on the diagnostic code and may determine, based on the issue, a remedial action for addressing the issue and a timeframe for performing the remedial action. The computing system may store data identifying the issue, the remedial action, and the timeframe in a record associated with the vehicle.

A vehicle with an emergency reporting function transmits an emergency report in a case where the vehicle is involved in an emergency. The vehicle includes a vehicle communicator and a vehicle memory. The vehicle communicator transmits the emergency report to an operator terminal. The operator terminal acquires emergency-related information by accessing a memory holding the emergency-related information. The emergency-related information includes limited-access information about the vehicle, an occupant of the vehicle, or both. The vehicle memory holds authentication information to be used to access the limited-access information held in the memory. The vehicle communicator transmits the authentication information to the operator terminal, and causes the operator terminal to acquire the limited-access information from the memory, as a part of the emergency-related information, by using the authentication information received from the vehicle.

An apparatus and method for automatically testing an infotainment system of a motor-vehicle. The apparatus includes, and the method is configured to use, a first multi-axis articulated robot including a chain of connected robot elements which are mutually articulated and ending with a robot wrist, and a second multi-axis articulated robot mounted on the wrist of the first robot. Wherein the second robot is configured for entering into a passenger compartment of the motor-vehicle to automatically test the infotainment system.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: configuring a sensor noise modeling module to produce simulated sensor errors or noise data with a configured degree, extent, and timing of simulated sensor errors or noise based on a set of modifiable parameters; using the simulated sensor errors or noise data to generate simulated perception data by simulating errors related to constraints of one or more of a plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

A method for identifying, diagnosing, maintaining, and repairing a vehicle in a repair shop, including the steps of connecting a mobile communication interface (VCI) to the vehicle and connecting a first vehicle inspection device at least to the VCI at a first work station; detecting identification data for the vehicle using the first vehicle inspection device and storing the identification data for the vehicle in the VCI; carrying out the first set of inspections of the vehicle using the first vehicle inspection device and/or the VCI; disconnecting the first vehicle inspection device from the vehicle; connecting a second vehicle inspection device to the vehicle, reading out the identification data from the VCI into the second vehicle inspection device at a second work station, and carrying out a second set of inspections of the vehicle using the second vehicle inspection device and/or the VCI connected to the vehicle.

A method and system for crash analysis of one or more vehicles involved in a crash is disclosed. The method may comprise capturing data samples such as a plurality of GPS samples and a plurality of acceleration samples. The method may further comprise generating a trajectory. Moreover, the method may comprise segmenting the trajectory into a macro level segment and further into a micro level segment. The method may further comprise computing at least one macro level score based on the plurality of acceleration samples and the GPS samples. Based on the at least one macro level score, the method may be configured to compute a crash responsibility score for ascertaining crash responsibility.