Abstract: According to various aspects, a controller includes one or more processors configured to: determine when a predicted event occurs, at which a velocity of a vehicle is changed; and provide an instruction for a reorientation of one or more seats of the vehicle based on when the predicted event occurs.

Abstract: In some aspects, a safety system may be configured to receive vehicle position data indicating a position of a vehicle, determine a first lane segment in a lane coordinate system based on the vehicle position data, the first lane segment being a lane segment in which the vehicle is located, determine a relevant set of lane segments based on a safety-range from the first lane segment, determine or receive obstacle position data indicating a second lane segment in the lane coordinate system, the second lane segment being a lane segment in which an obstacle is located, and classify the obstacle either as a non-relevant obstacle in the case that the second lane segment is not included in the relevant set of lane segments, or as a relevant obstacle in the case that the second lane segment is included in the relevant set of lane segments.

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: Systems, apparatuses and methods may provide for technology that obtains categorization information and corresponding uncertainty information from a perception subsystem, wherein the categorization information and the corresponding uncertainty information are to be associated with an object in an environment. The technology may also determine whether the corresponding uncertainty information satisfies one or more relevance criteria, and automatically control the perception subsystem to increase an accuracy in one or more subsequent categorizations of the object if the corresponding uncertainty information satisfies the one or more relevance criteria.

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: Disclosed embodiments are related to techniques for implementing Collective Perception Services in Intelligent Transport Systems. Embodiments include technologies for sharing layered costmaps and/or sharing perceived object clusters in Collective Perception Messages. Other embodiments may be described and/or claimed.

Abstract: Method, systems and apparatuses may include technology that identifies a second computing platform that includes a second hardware device that satisfies one or more conditions. The second hardware device is associated with a hardware abstraction layer on the second computing platform. The second computing platform is coupled to a first computing platform. The technology may further include generating a virtual hardware abstraction layer that is to represent the hardware abstraction layer on the second computing platform.

Abstract: Disclosed embodiments include technologies related to Maneuver Coordination Services (MCS) in vehicular networks. Embodiments include Emergency Group Maneuver Coordination (EGMC) for detected unexpected safety-critical situations (USCS) on the road. EGMC provides cooperative maneuver coordination among a group of vehicles to ensure safer collective actions in the case of USCS. Embodiments include Maneuver Coordination Message (MCM) format and structure, details of contents of MCM message, and procedures for Generation and Transmission of MCM with reduced communication overhead. Other embodiments are described and/or claimed.

Abstract: Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.

Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

Abstract: Methods and apparatus to provide accident avoidance information to passengers of autonomous vehicles are disclosed. An example apparatus includes a safety analyzer to determine an autonomously controlled vehicle is in a safe situation at a first point in time and in a dangerous situation at a second point in time. The example apparatus also includes a user interface generator to: generate user interface data to define content for a user interface to be displayed via a screen, the user interface to include a graphical representation of the vehicle, the user interface to graphically indicate the vehicle is in the safe situation at the first point in time; and modify the user interface data so that the user interface graphically indicates the vehicle is in the dangerous situation at the second point in time.

Abstract: A controller for an autonomous vehicle may include: one or more processors configured to: determine a maneuver planned for the vehicle based on a safety driving model and based on a first message from a network component external to the vehicle, the first message including a respective assessment for each proposed maneuver of at least two maneuvers proposed for the vehicle, and provide an in-vehicle instruction to perform the maneuver planned for the vehicle.

Abstract: A system and method are disclosed for interactive product assortment planning and visualization by receiving product attribute values for items of a product assortment is disclosed. Embodiments include displaying icons on an interactive visualization, connecting the icons with transferable demand links, identifying items to be removed from a product assortment, and transporting items among one or more supply chain entities.

Abstract: A communication device for a vehicle to communicate features about the vehicle's environment includes one or more processors configured to receive a communication from another device, wherein the communication includes a global reference coordinate system for an area covered by the other device and a number of allowed transmissions to be sent from the vehicle; transform stored data about the vehicle's environment based on the global reference coordinate system; divide the transformed stored data into a plurality of subsets of data; and select one or more subsets of data from the plurality of subsets for transmission according to the number of allowed transmissions.

Abstract: Vehicle navigation control systems in autonomous driving rely on the accuracy of maps which include features about a vehicle's environment so that a vehicle may safely navigate through its surrounding area. Accordingly, this disclosure provides methods and devices which implement mechanisms for communicating features observed about a vehicle's environment for use in updating maps so as to provide vehicles with accurate and “real-time” features of its surroundings while taking network resources, such as available frequency-time resources, into consideration.

Abstract: An exemplary method includes obtaining vehicle data comprising environmental perception data indicating a risk assessment regarding one or more perceived elements of an environment surrounding a vehicle; obtaining driver perception data regarding a driver inside the vehicle; determining an integrated risk assessment based on the vehicle data and the driver perception data; and determining an Operational Design Doman (ODD) compliance assessment of the vehicle at least based on the determined integrated risk assessment.

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: 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: 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 intelligent traffic optimization include a directional flow server that receives dynamic traffic data from traffic infrastructure devices in a monitored region. The traffic data may include traffic volume data and traffic control status data. The server updates a dynamic layer of a high-definition map based on the dynamic traffic data. The high-definition map also includes a static layer and a directional flow layer. The server optimizes the directional flow in response to updating the dynamic layer. The directional flow layer is indicative of traffic direction associated with roads in the monitored region. The server may optimize each of several sub-regions and then optimize connection roads between the regions. The server may distribute the optimized directional flow layer to consumers such as traffic control devices, autonomous vehicles, and other subscribing devices. Other embodiments are described and claimed.