Abstract: A hearing protection device (10, 10?) comprises at least one earmuff (12, 14) or earplug (12?, 14?), optionally a headband (18, 18?) for carrying the at least one earmuff (12, 14) or earplug (12?, 14?), electronic equipment (13b, 13c, 13d), sound-absorbing material and a haptic sensing unit (11, 11a, 11b) to sense a touch pattern occurring on at least a first portion of the hearing protection device (10, 10?), optionally of the at least one earmuff (12, 14) or earplug (12?, 14?) and/or of the headband (18, 18?).

Abstract: In various examples, systems and methods are disclosed that perform sensor fusion using rule-based and learned processing methods to take advantage of the accuracy of learned approaches and the decomposition benefits of rule-based approaches for satisfying higher levels of safety requirements. For example, in-parallel and/or in-serial combinations of early rule-based sensor fusion, late rule-based sensor fusion, early learned sensor fusion, or late learned sensor fusion may be used to solve various safety goals associated with various required safety levels at a high level of accuracy and precision. In embodiments, learned sensor fusion may be used to make more conservative decisions than the rule-based sensor fusion (as determined using, e.g., severity (S), exposure (E), and controllability (C) (SEC) associated with a current safety goal), but the rule-based sensor fusion may be relied upon where the learned sensor fusion decision may be less conservative than the corresponding rule-based sensor fusion.

Abstract: In various examples, a safety decomposition architecture for autonomous machine applications is presented that uses two or more individual safety assessments to satisfy a higher safety integrity level (e.g., ASIL D). For example, a behavior planner may be used as a primary planning component, and a collision avoidance feature may be used as a diverse safety monitoring component—such that both may redundantly and independently prevent violation of safety goals. In addition, robustness of the system may be improved as single point and systematic failures may be avoided due to the requirement that two independent failures—e.g., of the behavior planner component and the collision avoidance component—occur simultaneously to cause a violation of the safety goals.

Abstract: In various examples, a safety decomposition architecture for autonomous machine applications is presented that uses two or more individual safety assessments to satisfy a higher safety integrity level (e.g., ASIL D). For example, a behavior planner may be used as a primary planning component, and a collision avoidance feature may be used as a diverse safety monitoring component—such that both may redundantly and independently prevent violation of safety goals. In addition, robustness of the system may be improved as single point and systematic failures may be avoided due to the requirement that two independent failures—e.g., of the behavior planner component and the collision avoidance component—occur simultaneously to cause a violation of the safety goals.

Abstract: In various examples, systems and methods are disclosed relating to refinement of safety zones and improving evaluation metrics for the perception modules of autonomous and semi-autonomous systems. Example implementations can exclude areas in the state space that are not safety critical, while retaining the areas that are safety-critical. This can be accomplished by leveraging ego maneuver information and conditioning safety zone computations on ego maneuvers. A maneuver-based decomposition of perception safety zones may leverage a temporal convolution operation with the capability to account for collision at any intermediate time along the way to maneuver completion. This provides a significant reduction in zone volume while maintaining completeness, thus optimizing or otherwise enhancing obstacle perception performance requirements by filtering out regions of state space not relevant to a system's route of travel.

Abstract: The present disclosure relates to a system 10 comprising an ear cushion 20 for a headset 100, a fluid supply 30 and a fluid guide device 40 connected to the ear cushion 20. The present disclosure further relates to an ear cushion 20 for a headset 100, a fluid guide device 40 for a headset 100. Moreover, the present disclosure relates to a headset 100 as well as to a headgear 200 comprising such a system 10.

Abstract: The present disclosure relates to a hearing protector (10) with a sensor module (30) having a module sensor (32). The sensor module (30) is removably attached to the cushion (22, 24) and the cup (12A, 14A) of the earmuff (12, 14) of the hearing protector (10). The hearing protector (10) according to present disclosure allows the arrangement of sensors at a hearing protector (10) in an easy and cost-efficient way even with multiple sensors. The advantage of such a hearing protector (10) is an easy, compact and reliable solution of a hearing protector (10) providing information about the environment and about the conditions of the user (100) or worker using such a hearing protector (10). Also, a method of retrofitting such a sensor module (30) to a hearing protector (1) is provided. Such a method is advantageous because reversible retrofitting of existing hearing protectors (1) not having the required functionality of sensors is provided.

Abstract: In various examples, techniques for determining perception zones for object detection are described. For instance, a system may use a dynamic model associated with an ego-machine, a dynamic model associated with an object, and one or more possible interactions between the ego-machine and the object to determine a perception zone. The system may then perform one or more processes using the perception zone. For instance, if the system is validating a perception system of the ego-machine, the system may determine whether a detection error associated with the object is a safety-critical error based on whether the object is located within the perception zone. Additionally, if the system is executing within the ego-machine, the system may determine whether the object is a safety-critical object based on whether the object is located within the perception zone.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method includes determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model includes an independent threshold range for each attention parameter. The method further includes controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A method for controlling a driving assistance feature of a vehicle is disclosed. The method comprises determining a state of a driver of the vehicle by means of a driver monitoring system (DMS) the state of the driver comprising at least one attention parameter, and comparing the determined state of the driver with a predefined attention model. The predefined attention model comprises an independent threshold range for each attention parameter. The method further comprises controlling the driving assistance feature based on the comparison between the determined state of the driver and the predefined attention model.

Abstract: A ring-shaped cushion for a hearing protector or audio headset. The cushion has a circumferential contact pad for sealing on a wearer's head and an attachment for sealing with an earmuff. The cushion further has a sound insulation tube that inwardly defines an inner space. The sound insulation tube extends between the contact pad and the attachment. The cushion has a ventilation passage that extends entirely through the cushion between an inlet opening in the contact pad and an area outside of the inner space. The cushion may further include one or more physiological sensors to monitor the health of a wearer.

Abstract: The present disclosure relates to a system 10 comprising an ear cushion 20 for a headset 100, a fluid supply 30 and a fluid guide device 40 connected to the ear cushion 20. The present disclosure further relates to an ear cushion 20 for a headset 100, a fluid guide device 40 for a headset 100. Moreover, the present disclosure relates to a headset 100 as well as to a headgear 200 comprising such a system 10.

Abstract: A tensioning device for a chain driven jaw system in a package filling machine is disclosed. The chain driven jaw system has a fixed cam and a chain as a follower. The tensioning device comprises a chain tensioning element shaped and angled so to receive the chain on an outer surface thereof configured to be directed away from a center of the chain driven jaw system, wherein the chain tensioning element comprises a pivot connection, and wherein the chain tensioning element is configured to be integrated with the fixed cam at the pivot connection such that the chain tensioning element abuts the fixed cam at the pivot connection and can move to tension the chain. A chain driven jaw system and a related method is also disclosed.

Abstract: In various examples, systems and methods are disclosed that perform sensor fusion using rule-based and learned processing methods to take advantage of the accuracy of learned approaches and the decomposition benefits of rule-based approaches for satisfying higher levels of safety requirements. For example, in-parallel and/or in-serial combinations of early rule-based sensor fusion, late rule-based sensor fusion, early learned sensor fusion, or late learned sensor fusion may be used to solve various safety goals associated with various required safety levels at a high level of accuracy and precision. In embodiments, learned sensor fusion may be used to make more conservative decisions than the rule-based sensor fusion (as determined using, e.g., severity (S), exposure (E), and controllability (C) (SEC) associated with a current safety goal), but the rule-based sensor fusion may be relied upon where the learned sensor fusion decision may be less conservative than the corresponding rule-based sensor fusion.

Abstract: Embodiments herein relate to a method performed by an autonomous vehicle for activating an autonomous braking maneuver of the autonomous vehicle having an autonomous drive system. The autonomous vehicle detects at least one user initiated request for an autonomous braking maneuver of the vehicle when the vehicle is in a first autonomous drive mode at a speed. The autonomous braking maneuver is at least one of: speed reduction or stop. When the request has been detected, the autonomous vehicle activates the autonomous braking maneuver of the vehicle which reduces the speed and/or brakes the vehicle to a stop.

Abstract: A martensitic stainless alloy comprising, in percent by weight (wt. %) C >0.50 to 0.60; Si 0.10 to 0.60, Mn 0.40 to 0.80; Cr 13.50 to 14.50; Ni 0 to 1.20; Mo 0.80 to 2.50; N 0.050 to 0.12; Cu 0.10 to 1.50; V max 0.10; S max 0.03; P max 0.03; the balance being Fe an unavoidable impurities.

Abstract: Autologous cancer tumour associated extrachromosomal circular DNA (ecDNA) for use as a therapeutic vaccine against the cancer, and methods for preparing an autologous therapeutic vaccine.

Abstract: An architecture can generate lane graphs or path determinations, for devices such as robots or autonomous vehicles, using multiple sources of data while satisfying applicable requirements and regulations for operation. A system can fuse together data from multiple sources useful to determine localization. To ensure safety compliance, this fused data is compared against data from systems where safety is trusted and, as long as at least two comparators agree with the fused localization data, the fused localization data can be used and verified to be safety regulation compliant. This system can also fuse together available information useful for lane perception. This fused data is compared against data from systems where the safety is trusted, and as long as at least two comparators for these safety-compliant systems agree with the fused lane graph data, then the fused lane graph data can be provided for navigation and verified to be regulation compliant.

Abstract: In various examples, a safety decomposition architecture for autonomous machine applications is presented that uses two or more individual safety assessments to satisfy a higher safety integrity level (e.g., ASIL D). For example, a behavior planner may be used as a primary planning component, and a collision avoidance feature may be used as a diverse safety monitoring component—such that both may redundantly and independently prevent violation of safety goals. In addition, robustness of the system may be improved as single point and systematic failures may be avoided due to the requirement that two independent failures—e.g., of the behavior planner component and the collision avoidance component—occur simultaneously to cause a violation of the safety goals.

Abstract: Systems and methods for disabling autonomous vehicle input devices are provided. In one example embodiment, a computer implemented method includes identifying an operating mode of an autonomous vehicle. The method includes determining one or more vehicle input devices to be disabled based at least in part on the operating mode of the autonomous vehicle. The vehicle input devices are located onboard the autonomous vehicle. The method includes disabling the one or more vehicle input devices based at least in part on the identified operating mode of the autonomous vehicle such that an input by a user with respect to the one or more vehicle input devices does not affect an operation of the autonomous vehicle.