Publications

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Filters: Author is Tamal Bose  [Clear All Filters]
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Autonomous Systems
J. Nguyen, Huynh, H., Av, E., Bhadani, R., and Bose, T., “Reinforcement Learning for Autonomous Driving using CAT Vehicle Testbed”, in CAT Vehicle Research Experience for Undergraduates, Tucson, 2019.PDF icon Reinforcement Learning for Autonomous Driving.pdf (488.41 KB)
autonomous vehicles
L. Bentley, MacInnes, J., Bhadani, R., and Bose, T., “A Pseudo-Derivative Method for Sliding Window Path Mapping in Robotics-Based Image Processing”, Accepted at IEEE International Conference on Robotic Computing, 2019.PDF icon Preprint (312.52 KB)
H. Mason, Bentley, L., MacInnes, J., Bhadani, R., and Bose, T., “Adaptive HSL Filters and Inverse Perspective Transforms in Lane Detection for Autonomous Driving”, in CAT Vehicle REU, 2019.PDF icon AdaptiveHSLInversePerspective (1.86 MB)
L. Bentley, MacInnes, J., Mason, H., Bhadani, R., and Bose, T., “A Sliding Window for Path Mapping based on a Pseudo-Derivative Method in Autonomous Navigation”, in IEEE Vehicular Technology Conference, VTC-2019, Fall, Honolulu, Hawaii, 2019.
computer vision
H. Mason, Bentley, L., MacInnes, J., Bhadani, R., and Bose, T., “Adaptive HSL Filters and Inverse Perspective Transforms in Lane Detection for Autonomous Driving”, in CAT Vehicle REU, 2019.PDF icon AdaptiveHSLInversePerspective (1.86 MB)
image processing
L. Bentley, MacInnes, J., Bhadani, R., and Bose, T., “A Pseudo-Derivative Method for Sliding Window Path Mapping in Robotics-Based Image Processing”, Accepted at IEEE International Conference on Robotic Computing, 2019.PDF icon Preprint (312.52 KB)
H. Mason, Bentley, L., MacInnes, J., Bhadani, R., and Bose, T., “Adaptive HSL Filters and Inverse Perspective Transforms in Lane Detection for Autonomous Driving”, in CAT Vehicle REU, 2019.PDF icon AdaptiveHSLInversePerspective (1.86 MB)
Machine Learning
J. Nguyen, Huynh, H., Av, E., Bhadani, R., and Bose, T., “Reinforcement Learning for Autonomous Driving using CAT Vehicle Testbed”, in CAT Vehicle Research Experience for Undergraduates, Tucson, 2019.PDF icon Reinforcement Learning for Autonomous Driving.pdf (488.41 KB)