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Obstacle Detection in Smooth High Curvature Terrain


Obstacle Detection in Smooth High Curvature Terrain

Detection of obstacles for autonomous vehicles is more diffi- cult when the terrain is not locally planar and remains an open problem. We have developed an ...

Obstacle detection in smooth high curvature terrain | IEEE ...

Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem.

Obstacle Detection in Smooth High Curvature Terrain

Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem.

(PDF) Obstacle detection in smooth high curvature terrain

PDF | Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem. We have.

Obstacle Detection in Smooth High Curvature Terrain | Sciweavers

Obstacle Detection in Smooth High Curvature Terrain - Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally ...

Smooth path planning under maximum curvature constraints for ...

It can ensure that the planned paths are the shortest and continuous in both orientation and curvature. However, the path after smoothing will inevitably ...

TOPGN: Real-time Transparent Obstacle Detection using Lidar Point ...

We isolate a neighborhood of points reflected from transparent obstacles by comparing the intensities in the different 2D grid map layers. Using ...

An Analytic Model for Negative Obstacle Detection with Lidar and ...

Equations (19) and (20) define the requirements for detecting a negative obstacle using the curvature-based method on a grid. In the following ...

Highly smooth and parameter independent obstacle avoidance ...

The proposed method uses the virtual collision point model to accurately design the desired acceleration, which makes the obtained path highly ...

Obstacle Detection Algorithm overview. Each scan is classified as...

We have developed an approach suited for obstacle detection in those cases where the terrain has significant curvature but is smooth enough that the obstacles ...

Stereo‐based all‐terrain obstacle detection using visual saliency

Obstacle detection in smooth high curvature terrain. In Proceedings of the International Conference on Robotics and Automation (ICRA) ...

A Robust Approach to High-Speed Navigation for Unrehearsed ...

Batavia P., & Singh S. (2002, May). Obstacle detection in smooth high curvature terrain. Paper presented at the IEEE International Conference on Robotics and ...

A practical obstacle detection system for autonomous orchard vehicles

Obstacle detection in smooth high curvature terrain · Computer Science, Engineering. Proceedings 2002 IEEE International Conference on… · 2002.

A Real-Time Hydrodynamic-Based Obstacle Avoidance System for ...

We implemented an obstacle avoidance approach with a focus on curvature constraint for a non-holonomic mobile robot regarded as a particle.

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Obstacle Detection and Terrain Classification for Autonomous Off ...

Batavia, P. and Singh, S. 2002. Obstacle detection in smooth high curvature terrain. In Proceedings of the IEEE Conference on Robotics and Automation (ICRA '02) ...

Single-view obstacle detection for smart back-up camera systems

The algorithm runs at 25fps on an image cognition processor. References. [1] P. Batavia and S. Singh. Obstacle detection in smooth high curvature terrain. In ...

V-disparity Based UGV Obstacle Detection in Rough Outdoor Terrain

On the contrary, vision system has plenty of merits, such as the capability to handle larger amount of data, lower energy consumption, smaller size, higher ...

Evaluation of Stereo Vision Obstacle Detection Algorithms for Off ...

While some discrete obstacle detection methods assume that obstacles lie on a flat ground ... Singh, “Obstacle Detection in Smooth High Curvature Terrain”,.

[PDF] Obstacle Detection and Terrain Classification for Autonomous ...

An obstacle detection technique that does not rely on typical structural assumption on the scene; a color-based classification system to label the detected ...