A method and apparatus for controlling a vehicle based on weather information and road environment information can include obtaining weather information and wheel slip information on a road on which a vehicle is traveling, such as when a weather and road environment association mode is ON, determining a weather association factor based on the weather information, determining a wheel slip correction factor based on the wheel slip information, determining a driving torque factor based on the weather association factor and the wheel slip correction factor, and controlling a driving source of the vehicle based on the driving torque factor.

Systems and methods of electrically heating catalyst (EHC) driver notification are provided. With the goal of increasing driver cooperation in reducing emissions, EHC driver notification systems notify the driver when the EHC is in an inefficient operation state. This notification is provided to the driver so that the driver may consciously operate the vehicle in a fashion that reduces emissions while the EHC is in the inefficient operation state. EHC driver notifications systems may also restrict operation of the vehicle when the EHC is in an inefficient operation state. However, for safety reasons, these systems provide the driver a function to bypass the restriction as needed.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

A method for operating a driver assistance system of a vehicle includes the steps of: checking whether there is a motorway exit or roadworks on a first side of the vehicle; checking whether an environment sensor system of the vehicle detects a lane marking that bounds a lane of the vehicle on a second side, which is opposite the first side; if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system detects the lane marking, operating a lane-keeping function of the driver assistance system; and if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system does not detect the lane marking, triggering a takeover request to a driver of the vehicle.

Autonomous driving computing systems in autonomous vehicles can include semiconductor chips with varying degrees of heat dissipation. The semiconductor chips are mounted on a printed circuit board, which together may be packaged in an enclosure assembly. The enclosure assembly may be mounted in the autonomous vehicle. Having a compact or low-profile enclosure assembly, and the harsh operating environment of the autonomous vehicle may pose a challenge for cooling the semiconductor chips and design of the enclosure assembly. Some cooling mechanisms can be difficult to manufacture, assemble, and/or service. An impeller-based intake subassembly can be combined with an air guidance plate that has a hollow structure that can direct air from the intake subassembly towards the printed circuit board through exhaust slots extending from the hollow structure, and air pathways to direct the air across the printed circuit board from the exhaust slots towards an impeller-based exhaust subassembly.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

A system and method in communication with a sensor that can attach to objects placed on the roof of a vehicle acquires dimensional data to determine the position/orientation of the objects on the roof and determine the clearance of the vehicle based on the orientation of the object. The system recommends an orientation of the object to be placed in (e.g., based on the acquired dimensions of the object) to optimize aerodynamics and/or to reduce clearance.