Autonomous System Development
Software and robotic systems that perceive their surroundings and act with limited human intervention.
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Interpretable AI agent through nonlinear decision trees for lane change problem
A Ghosh, Y Dhebar, R Guha, K Deb, S Nageshrao, L Zhu, E Tseng, et al. Cited by 10
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Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid
J Weiner, AT Ernst, X Li, Y Sun, K Deb. Cited by 16
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Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport
RS Mendes, V Lush, EF Wanner, FVC Martins, JFM Sarubbi, K Deb. Cited by 16
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Grpavoid: Multigroup collision-avoidance control and optimization for UAV swarm
L Luo, X Wang, J Ma, YS Ong. Cited by 44
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Pay-per-flight dynamic pricing of uav operations
J Rubio-Hervas, A Gupta, YS Ong, M Reyhanoglu. Cited by 3
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Bio-inspired Routing in DMFB: An Artificial Swarm Propagation Based Application
P Roy, D Pal, T Biswas, R Bhattacharya, H Rahaman. Cited by 2
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Automated learning of in-vehicle noise representation with triplet-loss embedded convolutional beamforming network
SJ Bu, SB Cho. Cited by 2
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Towards faster vehicle routing by transferring knowledge from customer representation
L Feng, Y Huang, IW Tsang, A Gupta, K Tang, KC Tan, YS Ong. Cited by 49
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Boosting the transferability of adversarial samples via attention
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai. Cited by 206
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Challenges to Human Drivers in Increasingly Automated Vehicles
PA Hancock, T Kajaks, JK Caird, M Chignell, S Mizobuchi, PC Burns, J Feng, GR Fernie, M Lavallière, IY Noy, DA Redelmeier, BH Vrkljan. Cited by 88
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Automatic Construction of Multi-layer Perceptron Network from Streaming Examples
M Pratama, C Za’in, A Ashfahani, YS Ong, W Ding. Cited by 60
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AIR5: Five Pillars of Artificial Intelligence Research
YS Ong, A Gupta. Cited by 61