Westpatent AB

The present disclosure relates to a heat dissipation arrangement (101) for electronic devices (103), comprising a base plate (104) and a plurality of cooling fins (105, 106). The cooling fins (105, 106) are formed on, and protrude from, the base plate (104) in a first region (107) and a second region (108), where most cooling fins (105) in the first region (107) have a corresponding arcuate shape. The heat dissipation arrangement (101) comprises a third region (112) that at least partly separates the first region (107) from the second region (108) and is adapted to receive air (111) injected by means of an electric fan (102). Most of the cooling fins (106) in the second region (108) are inclined or curved with respect to the direction of incoming ambient air (110) from one direction and air (111) injected by means of an electric fan (102) from another direction, such that ambient air (110) and air (111) injected by means of an electric fan (102) both are guided towards the cooling fins (105) of the first region (107).

The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle accident warning level assessment for a two-wheeled or a three-wheeled vehicle (1) that is adapted to travel in a forward movement direction (D). The method comprises preparing (S100) training data, where preparing (S100) training data comprises obtaining and automatically acquiring (S110) a plurality of sets of sensor data (100), each set of sensor data (100) being collected during a corresponding time period. The method further comprises training (S200) the machine-learning model using the prepared training data, where training (S200) the machine-learning model comprises associating (S210) each set of sensor data (100) with a certain warning level (170), among a plurality of warning levels.

The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle safety action assessment for a vehicle (1) adapted to travel in a forward movement direction (D). The method comprises preparing (S100) training data, which in turn comprises obtaining (S110) sets of sensor data used for determining movement data (120, 122, 130) for a vehicle driver (8) and optionally also for the vehicle (1). The method further comprises training (S200) the machine-learning model using the prepared training data by associating (S210) each set of sensor data with a safety action among a plurality of safety actions. The associating (S210) comprises setting (S211) a threshold level (T1, T2, T3) for each determined movement data (120, 122, 130), where each threshold level (T1, T2, T3) corresponds to a certain safety action.

The present disclosure relates to a method performed by a processor arrangement (115, 125) in a vehicle radar system (101) . The method comprises generating and transmitting (S100) radar signals (102) using a first radar transceiver (110), a second radar transceiver (120), a first antenna arrangement (111) and a second antenna arrangement (121), and receiving (S200) radar signals (103) associated with detections (104; 104a, 104b, 104c, 104d) that are associated with a first domain (R₁) and detections (204; 204a, 204b, 204c, 204d, 204e, 204f) associated with a second domain (R₂), at least partly separate from the first domain (R₁), using the antenna arrangements (111, 121) and the radar transceivers (110, 120). The method further comprises transferring (S400), from the first radar transceiver (110) to the second radar transceiver (120), receiver channel data related to detections (204; 204a, 204b, 204c, 204d, 204e) associated with the second domain (R₂), processing (S500), at the first radar transceiver (110), the available receiver channel data related to the detections (104; 104a, 104a 104b, 104c) associated with the first domain (R₁), and processing (S600), at the second radar transceiver (120), the available receiver channel data related to the detections (204; 204a, 204b, 204c, 204d, 204e, 204f) associated with the second domain (R₂).

A radar transceiver (101) arranged to transmit a first waveform in a first frequency band, and a second waveform in a second frequency band different from the first frequency band, wherein the second waveform is configured to be scaled in the time domain compared to the first waveform by an amount corresponding to a difference in wavelength between the first and the second frequency bands, thereby compensating for a difference in phase evolution of a target reflection (125) over time for the first waveform compared to the second waveform.

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The present disclosure relates to a radar system (210) for a vehicle (200), comprising a plurality of radar transceivers (202, 203, 204, 205) and a control unit (208). Each radar transceiver (202, 203, 204, 205) is associated with a main pointing direction (PI, P2, P3, P4) and a certain frequency sub-band (A, B, C, D), where the subbands (A, B, C, D) together form a certain dedicated frequency band. The control unit (208) is adapted to:- define heading intervals which divide a full turn interval 0° - 360° into sections,- assign a corresponding sub-band (A, B, C, D) to each heading interval,- determine a present vehicle heading (F), and to- assign a corresponding sub-band (A, B, C, D) to each one of the radar transceivers (202, 203, 204, 205) in dependence of the heading interval that comprises the present vehicle heading (F).