Sentence examples for track obstacles from inspiring English sources

Its newest experimental car can maneuver in traffic, drive on surface streets, and track obstacles with cameras and radar much as Google's do.

Yes, with real go-karts, stars, shells, and track obstacles.

The presented paper describes a security framework for industrial robotic cells based on laser rangefinders able to detect and track obstacles around the robot, information that is used to modify robot's behaviour and guarantee safety.

The player can detach the speeder from the track and navigate down the center in order to avoid track obstacles and to acquire the power-ups exclusively located there.

An inverse optimal control strategy is employed to design cost functions such that three cooperative control objectives including cooperative tracking, obstacle avoidance, and control effort minimization, can be addressed in one optimal control design process.

In order to implement automatic target tracking, obstacle avoidance and avoid collisions between group members, the control framework is divided into three layers based on task assignments: flocking strategy design, motion planning and control input design.

Most of the games are controlled by a computer keyboard's directional buttons, and the object is to drive a vehicle around or through a track, avoiding obstacles and picking items that increase the power of the vehicle in some way.

The theory-based Mental Contrasting and Implementation Intentions approach has been found to be an effective and easily applicable self-regulation strategy to address typical problems of goal striving, such as getting started with an intended behavior or staying on track despite obstacles (overviews by [ 40, 41, 44]).

They are regarding to the part of the field of view usable for basic orientation on the road, minimal size of tracked vehicles, minimal correspondence of the characteristic points required for the reliable tracking of obstacles, the size of an averaging filter used in estimation of relative velocity, etc.

This paper addresses the problem of urban scene monitoring and tracking of obstacles based on unsupervised, deep-learning approaches.

The on-board tracking and obstacle avoidance systems have been adjusted, as well.