Abstract: Systems, apparatuses and methods may provide for vehicle technology that detects one or more differences between a crowdsourced map of an ambient environment and a real-time volumetric map of the ambient environment and sends a first message via a vehicle-to-vehicle (V2V) link, wherein the difference(s) are represented in the first message at a first resolution. Additionally, the vehicle technology sends a second message via a vehicle-to-infrastructure (V2I) link, wherein the difference(s) are represented in the second message at a second resolution, and wherein the first resolution is less than the second resolution. Moreover, server technology may integrate a first octree representation and a second octree representation into a dynamic layer associated with the crowdsourced map.

Abstract: Systems, apparatuses and methods may provide for infrastructure node technology that conducts a mutual authentication with a vehicle and verifies, if the mutual authentication is successful, location information received from the vehicle. The infrastructure node technology may also send a token to the vehicle if the location information is verified, wherein the token includes an attestation that the vehicle was present in a location associated with the location information at a specified moment in time. Additionally, vehicle technology may conduct a mutual authentication with an infrastructure node and send, if the mutual authentication is successful, location information to the infrastructure node. The vehicle technology may also receive a token from the infrastructure node.

Abstract: Systems, apparatuses and methods may provide for technology that obtains a neural network output, which estimates a difference between a first measured output of a sensor and a simulated output of the sensor. The technology may also add the difference to the simulated output of the sensor. In one example, the neural network output includes mean displacement data and parametrically controllable covariance data. Additionally, the technology may subtract a point-wise difference from a second measurement output of the sensor.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to analyze vehicle perspectives, the apparatus comprising a profile generator to generate a first profile of an environment based on a profile template and first data generated by a first vehicle; a data analyzer to: determine a difference between the first profile and a second profile obtained from a first one of one or more nodes in the environment; and in response to a trigger event, update the first profile based on the difference; and a vehicle control system to: in response to the trigger event, update a first perspective of the environment based on one or more of second data from the first one of the one or more nodes or the updated first profile; update a path plan for the first vehicle based on the updated first perspective; and execute the updated path plan.

Abstract: Various techniques for collection and processing of motor vehicle telematics data and establishing control over access to the telematics data are disclosed herein. In an example, a communication device (e.g., a computing device) operated by an owner or operator of a motor vehicle operates to receive telematics data from a telematics system, generate and transmit a derived indication of the telematics data (e.g., using a hash of the data), receive and process a request for information from the telematics data, and generate and transmit an answer and proof of the answer validity in response to the request for information. In an example, the proof of the answer validity may be provided as a zero knowledge proof. The proof may be verified using the derived indication of the telematics data, such as from an indication that is stored in a public distributed blockchain that is auditable and unalterable.

Abstract: Systems, apparatuses and methods may provide for technology that initiates one or more optical pulses in accordance with a first emission pattern, obtains a second emission pattern in response to one or more of a time-variable trigger or a deviation of one or more received optical reflections from an expected reflection pattern, and initiates one or more optical pulses in accordance with the second emission pattern. Moreover, infrastructure node technology may detect, based on an interference notification from a first sensor platform, a deviation of received optical reflection(s) from an expected reflection pattern, select emission parameter(s) in response to the deviation, and alter a first emission pattern with respect to the selected emission parameter(s) to obtain a second emission pattern.

Abstract: A vehicle seat includes a seat bottom and a seat back coupled to the seat bottom to move relative to the seat bottom. The seat bottom is coupled to a floor of a vehicle and configured to move back and forth relative to the floor. The vehicle seat includes an electronic control unit configured to control movement of the seat bottom.

Abstract: Methods and apparatus relating to heterogeneous compute architecture hardware/software co-design for autonomous driving are described. In one embodiment, a heterogeneous compute architecture for autonomous driving systems (also interchangeably referred to herein as Heterogeneous Compute Architecture or “HCA” for short) integrates scalable heterogeneous processors, flexible networking, benchmarking tools, etc. to enable (e.g., system-level) designers to perform hardware and software co-design. With HCA system engineers can rapidly architect, benchmark, and/or evolve vehicle system architectures for autonomous driving. Other embodiments are also disclosed and claimed.

Abstract: Technologies for contextual natural language generation in a vehicle are disclosed. A natural language generation system may generate responses to passenger input that is based on the passenger state, the vehicle state, and the state of a dialogue manager. Tailoring parameters such as tone, volume, lexicon, etc., may allow for a more positive response from a passenger in the vehicle, increasing the trust and faith the passenger may have in the vehicle's computing system.

Abstract: Systems and techniques for simulated vehicle modeling with real vehicle profiles are described herein. In an example, a simulated vehicle modeling system is adapted to obtain a vehicle performance fingerprint, such as from a vehicle performance fingerprint that includes vehicle performance data collected from a unique vehicle while experiencing real world driving conditions. The simulated vehicle modeling system may be further adapted to present, in a driving simulator, a simulated driving experience with a simulated vehicle, such as for a simulated vehicle that is constructed based on the vehicle performance fingerprint. The simulated vehicle modeling system may be further adapted to update a set of driving directives for an autonomous vehicle based on the simulated driving experience and upload the set of driving directive to an autonomous vehicle.

Abstract: Herein is disclosed a set of instructions, configured to cause one or more processors to receive data representing one or more parameters of an obstacle relative to a vehicle; generate a visual representation of the one or more parameters; and instruct a display controller to display a composite image, the composite image comprising a content image within an inner region of a display and the visual representation within an outer region of the display.

Abstract: In one example a system for emotional adaptive driving policies for automated driving vehicles, comprising a first plurality of sensors to detect environmental information relating to at least one passenger in a vehicle and a controller communicatively coupled to the plurality of sensors and comprising processing circuitry, to receive the environmental information from the first plurality of sensors, determine, from the environmental information, an emotional state of the at least one passenger, and implement a driving policy based at least in part on the emotional state of the at least one passenger. Other examples may be described.

Abstract: Systems and methods for detecting rogue vehicles within a plurality of vehicles connected via a vehicular ad-hoc network (VANET) are provided. Sensors on each VANET vehicle provide host vehicle data and data associated with other nearby vehicles. Each VANET vehicle multicasts information that includes location, velocity, and preferred future travel path to the other VANET vehicles. Using data from sensors and data received from other VANET vehicles the host vehicle generates a dynamic set of safe vehicle operating behaviors. Nearby vehicles that do not comply with the determined safe vehicle operating behaviors or perform illegal/unsafe acts are identified as rogue vehicles. Data associated with identified rogue vehicles is transmitted to all VANET vehicles.

Abstract: A method and a system for monitoring batch processing of applications executed in IT infrastructure. The method being implemented by monitoring software configured for detection of at least one congestion incident of the computing resources of said infrastructure and for identification of at least one batch at the origin of said incident, by way of the following steps: recording of the usual consumption of said resources by the batches; follow-up of the execution of the batches over time; measuring, by a monitoring tool, of the instantaneous consumption of said resources; comparison, for said identification, between the instantaneous consumption and the usual consumption of each of the batches executed during a period close to the incident.

Abstract: Various techniques for collection and processing of motor vehicle telematics data and establishing control over access to the telematics data are disclosed herein. In an example, a communication device (e.g., a computing device) operated by an owner or operator of a motor vehicle operates to receive telematics data from a telematics system, generate and transmit a derived indication of the telematics data (e.g., using a hash of the data), receive and process a request for information from the telematics data, and generate and transmit an answer and proof of the answer validity in response to the request for information. In an example, the proof of the answer validity may be provided as a zero knowledge proof. The proof may be verified using the derived indication of the telematics data, such as from an indication that is stored in a public distributed blockchain that is auditable and unalterable.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to develop driving simulations. An example apparatus includes a vehicle configuration engine to retrieve first tier environment parameters associated with a simulation type, and generate second tier environment parameters associated with the simulation type, a simulation modifier (SM) source engine to identify a source of SMs, and distinguish respective ones of the source of SMs that are compatible with the simulation type and the second tier environment parameters, and a development environment configuration engine to improve simulation design efficiency by associating simulation events with only the respective ones of the SMs that are compatible with the simulation type.

Abstract: The present invention relates to a device comprising at least one computer machine and a software for executing a correlation analysis mechanism during performance degradation of an application chain comprising a hardware and software arrangement for storing a measuring repository, said measuring repository comprising a hardware and software arrangement for measuring, by consumption probes, the level of use of each resource on the set of servers constituting the application chain during periods of performance degradation, then storage in a memory of these levels in the measuring repository, in association with the period, said device being characterized in that it further comprises an editing hardware and software arrangement of a configuration repository, a categorisation module of the performance problems as a function of the measuring and configuration repositories.

Abstract: A method for determining an amount of available resources of a production computing infrastructure, the amount of available resources ensuring a predetermined level of user experience associated with a computing application, the application to be released on the production infrastructure, the method including: A: consuming an initial amount of resources of a test infrastructure, on which the application is installed B: running a load testing scenario, during which a plurality of requests are sent to the application C: measuring a parameter quantising the user experience, as a function of a scenario report including data relating to responses to the requests D: if the measured parameter is lower than the predetermined level of user experience: decreasing the resource consumption of the test infrastructure, and reiterating steps B, C and D E: calculating the amount of available resources ensuring the predetermined level of user experience.

Abstract: A vehicle seat includes a seat bottom and a seat back coupled to the seat bottom to move relative to the seat bottom. The seat bottom is coupled to a floor of a vehicle and configured to move back and forth relative to the floor. The vehicle seat includes an electronic control unit configured to control movement of the seat bottom.

Abstract: Voice-interfaced, in-vehicle assistance includes receiving a voice-based query from a user in the vehicle, and then determining at least one of a user emotional state, user expertise level and speech recognition confidence level associated with the voice-based query. A text-based query may then be derived from the voice-based query, and used to search a help database for answers corresponding to the voice-based query. At least one response is then provided to the user in the form of voice-based assistance in accordance with at least one of the user emotional state, user expertise level and speech recognition confidence level.