Disclosed is a method for assisted parking of a vehicle. The method includes obtaining data associated with a surrounding of the vehicle. The method includes identify in the data a set of candidate parking spaces for the vehicle that meet at least one criterion associated with the vehicle. The method includes selecting one parking space for parking the vehicle out of the set. The method includes obtaining data associated with the surrounding of the selected parking space. The method includes determining whether the selected parking space meets the at least one criterion based on the data associated with the surrounding of the selected parking space. In response to the selected parking space being determined to meet the at least one criterion, the method further includes performing a parking maneuver, or selecting another parking space out of the set.

A vehicle control device includes a vehicle activation control unit. The vehicle activation control unit executes unlock processing for operating a steering lock mechanism by a steering lock control unit to attain a steering unlock state when an operation to start travel of a vehicle is recognized in a non-travelable mode, transitions the vehicle to a travelable mode where the vehicle is allowed to travel when a steering unlock recognition unit recognizes that a steering unlock state is attained by execution of the unlock processing, and prohibits transition to the travelable mode and maintains the vehicle in the non-travelable mode when the unlock processing is executed but the steering unlock recognition unit does not recognize that the steering unlock state is attained.

In one embodiment, a system for providing privacy protection of biometric related information for an occupant in a vehicle is provided. The system includes a memory device and at least one controller. The at least one controller including the memory device and is configured to receive first biometric information for a vehicle occupant from a plurality of biometric sensors positioned within a seat of the vehicle and to receive a first signal indicative of a first privacy setting from a plurality of privacy settings to share the first biometric information. The at least one controller is further configured to transmit the first biometric information internally within the vehicle in response to the first signal and to prevent the first biometric information from being transmitted externally from the vehicle in response to the first signal.

A navigation instruction of an autonomous vehicle is detected. The autonomous vehicle is in an environment. The autonomous vehicle is communicatively coupled to a plurality of sensors configured to capture environmental information of the environment. An anomalous sensor status of a first sensor of the plurality of sensors is determined based on the plurality of sensors. An air measurement is identified in response to the anomalous sensor status and based on a second sensor of the plurality of sensors. The air measurement is adjacent to the autonomous vehicle. Autonomous movement operation of the autonomous vehicle is directed in response to the movement instruction and based on the air measurement.

A platooning control method includes: determining whether a preceding vehicle, which is located in front of a host vehicle, has entered a slope section when a plurality of vehicles are moving on a road, acquiring longitudinal distance information between the host vehicle and the preceding vehicle using a Dead-Reckoning (DR) sensor of the host vehicle upon determining that the preceding vehicle has entered the slope section, and performing platooning control by the host vehicle with the plurality of vehicles in the slope section using the longitudinal distance information acquired by the DR sensor and speed information.

A system and method for vehicle control adaptation to external environmental conditions includes receiving, by a controller, weather and roadway condition data, from an external source. The weather and roadway condition data includes a sustained wind velocity, a sustained wind direction, and a wind gust level for a location of the vehicle. The controller receives vehicle measurement data from one or more sensors situated within the vehicle and determines a criticality of a wind impact on the vehicle based on the weather and roadway data and the vehicle measurement data. The controller than generates feedback and/or a control based on the criticality of the wind impact.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating trajectory predictions for one or more agents in an environment. In one aspect, a method comprises: obtaining scene context data characterizing a scene in an environment at a current time point and generating a respective predicted future trajectory for each of a plurality of agents in the scene at the current time point by sampling a sequence of discrete motion tokens that defines a joint future trajectory for the plurality of agents using a trajectory prediction neural network that is conditioned on the scene context data.

This application discloses a vehicle control apparatus and method, and a storage medium. The vehicle control apparatus includes a brake pedal and an accelerator pedal. The brake pedal is connected to a vehicle chassis by using a kinematic pair, and at least a part of the accelerator pedal is projected on the brake pedal. Based on the apparatus provided in this application, a driver can complete switching between vehicle braking and vehicle acceleration without moving a same foot. This greatly reduces a reaction distance of the driver, reduces an actual braking distance of the vehicle, and reduces a safety risk in an emergency.

Example implementations may relate to an obstacle detection system. In particular, an example device may include a light emitter, a line-image sensor, and a controller that are mounted on a rotatable component. In an example embodiment, the line-image sensor may receive light signals emitted from the light emitter. The controller may be communicatively coupled to the light emitter and line-image sensor and configured to determine a multipath signal based on the time of flight of the light signal and the position along the line-image sensor at which the line-image sensor received the given reflected light signal.

A hybrid vehicle includes an engine, a first rotating electrical machine, a second rotating electrical machine, a pair of power lines, a first inverter, a second inverter, a battery, a converter, a voltage sensor, and an electronic control unit. The electronic control unit is configured to determine that the voltage sensor is normal and perform a first evacuation running control when an output of the voltage sensor changes by the predetermined value or more while a voltage change process is carried out. The electronic control unit is configured to control the converter to a gate shutoff state, control a motive power of the engine in such a manner as to rotate the first rotating electrical machine and put the first rotating electrical machine into a regeneration state, and control the second rotating electrical machine to a power running state, as the first evacuation running control.