SAFETY METRICS BASED PRE-CRASH WARNING FOR DECENTRALIZED ENVIRONMENT NOTIFICATION SERVICE

    公开(公告)号:US20230138163A1

    公开(公告)日:2023-05-04

    申请号:US18089862

    申请日:2022-12-28

    Abstract: The present disclosure is related to connected vehicles, computer-assisted and/or autonomous driving vehicles, Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicle-to-Everything (V2X) technologies, and in particular, to enhanced decentralized environment notification (DEN) services and safety metrics based pre-crash warning for DEN messages (DENMs). The enhanced DEN services include mechanisms to alert road users of detected dangerous events due to safety metric violations, which are calculated based on sensor data/measurements. Safety metric-specific attributes are included in the DENM á la-carte container to carry the safety metrics violation to the neighboring stations. Additionally, the DENM situation container is also enhanced/expanded such that event type values can incorporate the safety metric violations and/or related events. For each metric, there is a threshold for triggering a DENM warning message, and the triggering conditions and logic for message generation are also described.

    COMMUNICATION DEVICES AND METHODS BASED ON MARKOV-CHAIN MONTE-CARLO (MCMC) SAMPLING

    公开(公告)号:US20220209891A1

    公开(公告)日:2022-06-30

    申请号:US17134255

    申请日:2020-12-25

    Abstract: Bayesian Inference based communication receiver employs Markov-Chain Monte-Carlo (MCMC) sampling for performing several of the main receiver functionalities. The channel estimator estimates the multipath channel coefficients corresponding to a signal received with fading. The symbol demodulator demodulates the received signal according to a QAM constellation, so as to generate a demodulated signal, and estimate the transmitted symbols. The decoder reliably decodes the demodulated signals to generate an output bit sequence, factoring in redundancy induced at a certain code rate. A universal sampler may be configured to use MCMC sampling for generating estimates of channel coefficients, transmitted symbols or decoder bits, for aforementioned functionalities, respectively. The samples may then be used in one or more of the receiver tasks: channel estimation, signal demodulation, and decoding, which leads to a more scalable, reusable, power/area efficient receiver.

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