Neusoft Reach Automotive Technology (shanghai) Co., Ltd.

Neusoft Corporation

Lu Wei

Wei Liu

Xin Yang

Cheng Chi

Wanli Ma

Guangsheng Zhang

Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

Vehicle lane-changing control method, vehicle lane-changing control device and related equipment

A method, a device and an apparatus for planning a vehicle speed are provided. The method includes: determining initial planning speeds at a target path point and a reference path point based on curvature radiuses of a target front road and a reference front road, such that first and second lateral accelerations are not greater than a lateral acceleration threshold; and determining a target longitudinal acceleration and a target planning speed at the target path point based on the initial planning speeds at the target path point and the reference path point and a reference journey, such that the target longitudinal acceleration is in a defined range. Therefore, a vehicle can drive based on the target planning speed and the target longitudinal acceleration at the target path point, thereby avoiding drastic deceleration and lateral offset, improving driving safety of the vehicle and riding comfort and saving energy.

Method, device and apparatus for planning vehicle speed

Provided is a method for generating target detection information, including detecting target objects around the vehicle by multiple different types of sensors, and determining the detection targets representing a same target object, detected by the different types of sensors, by spatial position and time tracing. With taking the target object as the detection result, the target detection information generated for the detection result includes a spatial matching confidence of the detection result in the current detection period, a time matching confidence of the detection result, and target detection information on each of the detection targets representing the detection result, collected by the sensor detecting the detection target in a dimension corresponding to the sensor.

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Shenyang, China

Lu Wei