Investigating pedestrians’ obstacle avoidance behaviour
نویسندگان
چکیده
منابع مشابه
Obstacle Avoidance
Given the a priori knowledge of the environment and the goal position, mobile robot navigation refers to the robot’s ability to safely move towards the goal using its knowledge and the sensorial information of the surrounding environment. Even though there are many different ways to approach navigation, most of them share a set of common components or blocks, among which path planning and obsta...
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The complexity and congestion of current transportation systems often produce traffic situations that jeopardize the safety of the people involved. These situations vary from maintaining a safe distance behind a leading vehicle to safely allowing a pedestrian to cross a busy street. Environmental sensing plays a critical role in virtually all of these situations. Of the sensors available, visio...
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We present work on a robot system capable of rapidly learning to avoid obstacles in previously unseen environments. We exploit deep learning’s generalized features to reason about when to turn left, turn right, or drive straight within an indoor environment. We present preliminary results of a deep convolutional neural network trained without any pre-training that can successfully avoid obstacles.
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A new real-time obstacle avoidance approach for mobile robots has been developed and implemented. This approach permits the detection of unknown obstacles simultaneously with the steering of the mobile robot to avoid collisions and advancing toward the target. The novelty of this approach, entitled the Virtual Force Field, lies in the integration of two known concepts: Certainty Grids for obsta...
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Based on a non-linear single track model which describes the dynamics of vehicle, an optimal path planning strategy is developed. Real time optimization is used to generate reference control values to allow leading the vehicle alongside a calculated lane which is optimal for different objectives such as energy consumption, run time, safety or comfort characteristics. Strict mathematic formulati...
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ژورنال
عنوان ژورنال: Collective Dynamics
سال: 2020
ISSN: 2366-8539
DOI: 10.17815/cd.2020.77