Systems and methods navigate a vehicle on a road at least partially covered with snow. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images captured of an environment forward of the vehicle, including an area where snow covers a road on which the vehicle travels, analyze at least one of the plurality of images to identify a first free space boundary on a first side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary.

An accident liability tracking system includes a processing device programmed to receive, from an image capture device, an image representative of an environment of the host vehicle, to analyze the image to identify a target vehicle in the environment of the host vehicle, and determine one or more characteristics of a navigational state of the target vehicle. The device is further programmed to compare the characteristics of the navigational state of the target vehicle to at least one accident liability rule, store one or more values indicative of potential accident liability on the part of the identified target vehicle based on the comparison of the characteristics of the navigational state of the identified target vehicle to the at least one accident liability rule, and output the one or more values, after an accident between the host vehicle and a target vehicle, for determining liability for the accident.

A threat emitter system comprising a threat emitter comprising a main power supply, an external power source, a first sequencer, a driver amp, a second sequencer, a main amp, and a radio; a three-way power supply; a mixer, synthesizer, pre-amp, and cooling fans receiving electrical power from the three-way power supply; and an antenna in communication with the main amp; a user interface in communication with radio; the radio in communication with the mixer; the mixer in communication with the synthesizer; a filter in communication between the mixer and the pre-amp; the driver amp in communication with the pre-amp; the first sequencer in communication with the driver amp; the driver amp in communication with the main amp; a second sequencer in communication with the main amp; and a processor with access to a memory storing instructions executable by the processor.

Methods and systems are described for engine idle speed optimization. A system may include determining whether a fuel intake rate indicative of an amount of fuel consumed by an idling engine over time satisfies a threshold in comparison to a reference fuel intake rate. The reference fuel intake rate may be indicative of a predetermined amount of fuel consumed by the idling engine over time. The system may adjust a predetermined minimum speed at which the engine idles in response to determining that the fuel intake rate satisfies the threshold.

A controller of a hybrid system including an internal combustion engine and a motor generator connected to each other via a belt includes processing circuitry configured to execute a power generation process that applies a load to the engine by controlling the motor generator to generate power when a first execution condition of an idling stop is satisfied, a slip rate calculation process that calculates a slip rate of the belt based on a rotational speed of the engine and a rotational speed of the motor generator while the power generation process is being executed, a determination process that determines whether or not a second execution condition of the idling stop is satisfied after waiting until a predetermined period elapses, when the slip rate is equal to or more than a threshold, and an idling stop process, when determining that the second execution condition is satisfied.

A hardware processor of a mobile object executes the program stored in a storage device to acquire information indicating a behavior of a mobile object which is capable of moving on both a roadway and a predetermined region different from the roadway; to recognize whether the mobile object is moving on the roadway or the predetermined region; to recognize presence of a contact portion between the predetermined region and the roadway in a traveling direction of the mobile object; to control the speed of the mobile object at least partially; to limit a speed at which the mobile object is moving on the roadway to a first speed; to limit a speed at which the mobile object is moving on the predetermined region to a second speed slower than the first speed; and to bring a speed of the mobile object closer to the second speed when the mobile object is moving on the roadway, the contact portion is recognized within a predetermined range from the mobile object, and a behavior of the mobile object satisfies a predetermined condition.

Disclosed subject matter relates to field of vehicle navigation system that performs a method of generating trajectory for navigating an autonomous vehicle. A trajectory generating system associated with autonomous vehicle detects Points of Interest (POIs) for a selected segment which is at predefined distance from current position of autonomous vehicle, in real-time. Further, features of each of the POIs are determined and first level trajectory is generated for selected segment based on features of POIs proximal to selected segment. Furthermore, the trajectory generating system generates second level trajectory for portions of first level trajectory from current position of autonomous vehicle by modifying each portion based on real-time environment data. First level trajectory in present disclosure enables trajectory generating system to effectively plan the second level trajectory such that, sudden change in velocity or direction of autonomous vehicle is eliminated, when autonomous vehicle encounters infrastructure conditions present in the selected segment.

An autonomous driving control device is capable of starting an autonomous driving control without an operation of a driver and reducing a possibility that the driver can not start manual driving. An autonomous driving control is switched to manual driving when a determination section determines that the amount of operation by the driver is equal to or greater than a first threshold, before a predetermined time elapses since the autonomous driving control is automatically started. An autonomous driving control is switched to a manual driving when the determination section determines that the amount of operation by the driver is equal to or greater than a second threshold that is greater than the first threshold, after the predetermined time elapses.

A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.

When a subject vehicle arrives at a destination while traveling, or when a driver of the subject vehicle becomes unable to drive during travel or when a failure occurs that interferes with the travel of the subject vehicle during the travel, a control plan for autonomous stop control is generated, the control plan comprising deceleration control for decreasing a speed of the subject vehicle; pulling over control for moving the subject vehicle from a lane in which the subject vehicle travels to the shoulder of the road; and stop control for stopping the subject vehicle at the shoulder of the road, and on a basis of this control plan, the autonomous stop control is performed to decelerate the subject vehicle and then move it to the shoulder of the road by individually and sequentially performing each of the deceleration control, the pulling over control, and the stop control.