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2020 – today
- 2024
[j45]Aviv Adler
, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The role of heterogeneity in autonomous perimeter defense problems. Int. J. Robotics Res. 43(9): 1363-1381 (2024)- [j44]Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze:
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. IEEE Trans. Robotics 40: 1339-1355 (2024) - [c143]Andrea Henshall, Sertac Karaman:
Multi-Level Action Tree Rollout (MLAT-R): Efficient and Accurate Online Multiagent Policy Improvement. ICRA 2024: 315-321 - [c142]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. ICRA 2024: 6687-6694 - [c141]Ifueko Igbinedion, Sertac Karaman:
Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation. ICRA 2024: 9593-9599 - [c140]Lukas Lao Beyer, Gilhyun Ryou, Patrick Spieler, Sertac Karaman:
Risk-Predictive Planning for Off-Road Autonomy. ICRA 2024: 16452-16458 - [c139]Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus:
Learning autonomous driving from aerial imagery. IROS 2024: 3226-3233 - [c138]Luke de Castro, Gilhyun Ryou, Hyungseuk Ohn, Sertac Karaman:
Multi-Fidelity Reinforcement Learning for Minimum Energy Trajectory Planning. IROS 2024: 7710-7717 - [c137]Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus:
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. IROS 2024: 10495-10502 - [c136]Juyeop Han, Lukas Lao Beyer, Guilherme Venturelli Cavalheiro, Sertac Karaman:
NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification. IROS 2024: 12601-12608 - [i76]Gilhyun Ryou, Geoffrey Wang, Sertac Karaman:
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning. CoRR abs/2403.08152 (2024) - [i75]Juyeop Han, Lukas Lao Beyer, Guilherme Venturelli Cavalheiro, Sertac Karaman:
NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification. CoRR abs/2404.01400 (2024) - [i74]Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus:
Probing Multimodal LLMs as World Models for Driving. CoRR abs/2405.05956 (2024) - [i73]Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus:
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. CoRR abs/2406.04300 (2024) - [i72]Dasong Gao, Peter Zhi Xuan Li, Vivienne Sze, Sertac Karaman:
GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians. CoRR abs/2409.09295 (2024) - [i71]L. Lao Beyer, Sertac Karaman:
Joint Localization and Planning using Diffusion. CoRR abs/2409.17995 (2024) - [i70]Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman, Vivienne Sze:
DecTrain: Deciding When to Train a DNN Online. CoRR abs/2410.02980 (2024) - [i69]Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus:
Learning autonomous driving from aerial imagery. CoRR abs/2410.14177 (2024) - [i68]Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac Karaman, Daniela Rus:
Generating Out-Of-Distribution Scenarios Using Language Models. CoRR abs/2411.16554 (2024) - 2023
- [j43]Soumya Sudhakar, Vivienne Sze, Sertac Karaman:
Data Centers on Wheels: Emissions From Computing Onboard Autonomous Vehicles. IEEE Micro 43(1): 29-39 (2023) - [j42]Oscar Mickelin, Sertac Karaman:
Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise. Numer. Linear Algebra Appl. 30(4) (2023) - [j41]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8(8): 4737-4744 (2023) - [j40]Ezra Tal, Gilhyun Ryou, Sertac Karaman:
Aerobatic Trajectory Generation for a VTOL Fixed-Wing Aircraft Using Differential Flatness. IEEE Trans. Robotics 39(6): 4805-4819 (2023) - [c135]Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus:
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL 2023: 1667-1685 - [c134]Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA 2023: 3576-3583 - [c133]Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus:
Risk-Aware Neural Navigation From BEV Input for Interactive Driving. ICRA 2023: 5659-5665 - [c132]Vishrant Tripathi, Igor Kadota, Ezra Tal, Muhammad Shahir Rahman, Alexander Warren, Sertac Karaman, Eytan H. Modiano:
WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs. INFOCOM 2023: 1-10 - [c131]Noam Buckman, Sertac Karaman, Daniela Rus:
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. IV 2023: 1-8 - [i67]Aviv Adler, Oren Gal, Sertac Karaman:
Agility and Target Distribution in the Dynamic Stochastic Traveling Salesman Problem. CoRR abs/2302.00243 (2023) - [i66]Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR abs/2303.12224 (2023) - [i65]Noam Buckman, Sertac Karaman, Daniela Rus:
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. CoRR abs/2304.11693 (2023) - [i64]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR abs/2305.14797 (2023) - [i63]Ifueko Igbinedion, Sertac Karaman:
Learning When to Ask for Help: Transferring Human Knowledge through Part-Time Demonstration. CoRR abs/2305.16502 (2023) - [i62]Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze:
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model. CoRR abs/2306.03740 (2023) - [i61]Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus:
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR abs/2310.17642 (2023) - 2022
- [j39]Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7(2): 984-991 (2022) - [j38]Muyuan Lin, Varun Murali, Sertac Karaman:
A Planted Clique Perspective on Hypothesis Pruning. IEEE Robotics Autom. Lett. 7(2): 5167-5174 (2022) - [j37]Noam Buckman, Alex Hansen, Sertac Karaman, Daniela Rus:
Evaluating Autonomous Urban Perception and Planning in a 1/10th Scale MiniCity. Sensors 22(18): 6793 (2022) - [c130]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning. CoRL 2022: 1860-1870 - [c129]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA 2022: 2419-2426 - [c128]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. ICRA 2022: 7745-7752 - [c127]Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze:
Memory-Efficient Gaussian Fitting for Depth Images in Real Time. ICRA 2022: 8003-8009 - [c126]Soumya Sudhakar, Vivienne Sze, Sertac Karaman:
Uncertainty from Motion for DNN Monocular Depth Estimation. ICRA 2022: 8673-8679 - [c125]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - [c124]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC 2022: 954-967 - [c123]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization. Robotics: Science and Systems 2022 - [c122]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. WAFR 2022: 115-131 - [i60]Aviv Adler, Oscar Mickelin, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Sertac Karaman:
The Role of Heterogeneity in Autonomous Perimeter Defense Problems. CoRR abs/2202.10433 (2022) - [i59]Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR abs/2205.09117 (2022) - [i58]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization. CoRR abs/2206.00726 (2022) - [i57]Ezra Tal, Gilhyun Ryou, Sertac Karaman:
Aerobatic Trajectory Generation for a VTOL Fixed-Wing Aircraft Using Differential Flatness. CoRR abs/2207.03524 (2022) - [i56]Ezra Tal, Sertac Karaman:
Global Incremental Flight Control for Agile Maneuvering of a Tailsitter Flying Wing. CoRR abs/2207.13218 (2022) - [i55]Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze:
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. CoRR abs/2210.03623 (2022) - [i54]Vishrant Tripathi, Igor Kadota, Ezra Tal, Muhammad Shahir Rahman, Alexander Warren, Sertac Karaman, Eytan H. Modiano:
WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs. CoRR abs/2212.03298 (2022) - [i53]Charles Richter, Patrick R. Barragan, Sertac Karaman:
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels. CoRR abs/2212.07013 (2022) - 2021
- [j36]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Multi-fidelity black-box optimization for time-optimal quadrotor maneuvers. Int. J. Robotics Res. 40(12-14): 1352-1369 (2021) - [j35]Xiao Li, Guy Rosman, Igor Gilitschenski, Cristian Ioan Vasile, Jonathan A. DeCastro, Sertac Karaman, Daniela Rus:
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features. IEEE Robotics Autom. Lett. 6(2): 3459-3466 (2021) - [j34]Ezra Tal, Sertac Karaman:
Accurate Tracking of Aggressive Quadrotor Trajectories Using Incremental Nonlinear Dynamic Inversion and Differential Flatness. IEEE Trans. Control. Syst. Technol. 29(3): 1203-1218 (2021) - [j33]Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus:
Stochastic Dynamic Games in Belief Space. IEEE Trans. Robotics 37(6): 2157-2172 (2021) - [c121]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL 2021: 1156-1167 - [c120]Xiao Li, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor. CoRL 2021: 1326-1335 - [c119]Jesper Karlsson, Anastasiia Varava, Cristian-Ioan Vasile, Sertac Karaman, Danica Kragic, Daniela Rus, Jana Tumova:
When to Terminate: Path Non-existence Verification Improves Sampling-based Motion Planning. ICAR 2021: 594-600 - [c118]Lukas Lao Beyer, Nadya Balabanska, Ezra Tal, Sertac Karaman:
Multi-Modal Motion Planning Using Composite Pose Graph Optimization. ICRA 2021: 9981-9987 - [c117]Muyuan Lin, Varun Murali, Sertac Karaman:
6D Object Pose Estimation with Pairwise Compatible Geometric Features. ICRA 2021: 10966-10973 - [c116]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA 2021: 13247-13254 - [c115]Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze:
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time. IROS 2021: 6464-6470 - [c114]Noam Buckman, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Semi-Cooperative Control for Autonomous Emergency Vehicles. IROS 2021: 7052-7059 - [c113]Murad Abu-Khalaf, Sertac Karaman, Daniela Rus:
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis. L4DC 2021: 828-841 - [i52]Oscar Mickelin, Sertac Karaman:
Recovering orthogonal tensors under arbitrarily strong, but locally correlated, noise. CoRR abs/2102.09661 (2021) - [i51]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR abs/2102.09812 (2021) - [i50]Murad Abu-Khalaf, Sertac Karaman, Daniela Rus:
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis. CoRR abs/2103.10888 (2021) - [i49]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR abs/2105.09932 (2021) - [i48]L. Lao Beyer, Nadya Balabanska, Ezra Tal, Sertac Karaman:
Multi-Modal Motion Planning Using Composite Pose Graph Optimization. CoRR abs/2107.02384 (2021) - [i47]Yi-Lun Liao, Sertac Karaman, Vivienne Sze:
Searching for Efficient Multi-Stage Vision Transformers. CoRR abs/2109.00642 (2021) - [i46]Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus:
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR abs/2111.12083 (2021) - [i45]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. CoRR abs/2111.12137 (2021) - 2020
- [j32]Zhengdong Zhang, Theia Henderson, Sertac Karaman, Vivienne Sze:
FSMI: Fast computation of Shannon mutual information for information-theoretic mapping. Int. J. Robotics Res. 39(9) (2020) - [j31]Amado Antonini, Winter Guerra, Varun Murali, Thomas Sayre-McCord, Sertac Karaman:
The Blackbird UAV dataset. Int. J. Robotics Res. 39(10-11) (2020) - [j30]Oscar Mickelin, Sertac Karaman:
On algorithms for and computing with the tensor ring decomposition. Numer. Linear Algebra Appl. 27(3) (2020) - [j29]Daniela Basurto-Lozada, Adeline Hillier, David Medina, Dagoberto Pulido, Sertac Karaman, Joaquín Salas:
Dynamics of soil surface temperature with unmanned aerial systems. Pattern Recognit. Lett. 138: 68-74 (2020) - [j28]Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Rohan Banerjee, Sertac Karaman, Daniela Rus:
Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics Autom. Lett. 5(2): 1143-1150 (2020) - [j27]Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus:
Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps. IEEE Robotics Autom. Lett. 5(4): 5097-5104 (2020) - [j26]Dagoberto Pulido, Joaquín Salas, Matthias Rös, Klaus Puettmann, Sertac Karaman:
Assessment of Tree Detection Methods in Multispectral Aerial Images. Remote. Sens. 12(15): 2379 (2020) - [j25]Oscar Mickelin, Sertac Karaman:
Multiresolution Low-rank Tensor Formats. SIAM J. Matrix Anal. Appl. 41(3): 1086-1114 (2020) - [j24]David Miculescu, Sertac Karaman:
Polling-Systems-Based Autonomous Vehicle Coordination in Traffic Intersections With No Traffic Signals. IEEE Trans. Autom. Control. 65(2): 680-694 (2020) - [j23]Rajat Talak, Sertac Karaman, Eytan H. Modiano:
Capacity and Delay Scaling for Broadcast Transmission in Highly Mobile Wireless Networks. IEEE Trans. Mob. Comput. 19(9): 1998-2009 (2020) - [j22]Rajat Talak, Sertac Karaman, Eytan H. Modiano:
Optimizing Information Freshness in Wireless Networks Under General Interference Constraints. IEEE/ACM Trans. Netw. 28(1): 15-28 (2020) - [j21]Rajat Talak, Sertac Karaman, Eytan H. Modiano:
Improving Age of Information in Wireless Networks With Perfect Channel State Information. IEEE/ACM Trans. Netw. 28(4): 1765-1778 (2020) - [c112]David Miculescu, Sertac Karaman:
Tensor-Train-based Algorithms for Aggregate State Estimation of Swarms with Interacting Agents. ACC 2020: 3291-3298 - [c111]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus:
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL 2020: 1855-1870 - [c110]Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan A. DeCastro, Cristian Ioan Vasile, Sertac Karaman, Daniela Rus:
Differentiable Logic Layer for Rule Guided Trajectory Prediction. CoRL 2020: 2178-2194 - [c109]Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus:
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR 2020 - [c108]Igor Spasojevic, Varun Murali, Sertac Karaman:
Perception-aware time optimal path parameterization for quadrotors. ICRA 2020: 3213-3219 - [c107]Noam Buckman, Alyssa Pierson, Sertac Karaman, Daniela Rus:
Generating Visibility-Aware Trajectories for Cooperative and Proactive Motion Planning. ICRA 2020: 3220-3226 - [c106]Soumya Sudhakar, Sertac Karaman, Vivienne Sze:
Balancing Actuation and Computing Energy in Motion Planning. ICRA 2020: 4259-4265 - [c105]Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior. ICRA 2020: 5611-5617 - [c104]Theia Henderson, Vivienne Sze, Sertac Karaman:
An Efficient and Continuous Approach to Information-Theoretic Exploration. ICRA 2020: 8566-8572 - [c103]Igor Spasojevic, Varun Murali, Sertac Karaman:
Joint Feature Selection and Time Optimal Path Parametrization for High Speed Vision-Aided Navigation. IROS 2020: 5931-5938 - [c102]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan via Deep Optimistic Value Exploration. L4DC 2020: 815-825 - [c101]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers. Robotics: Science and Systems 2020 - [i44]Igor Spasojevic, Varun Murali, Sertac Karaman:
Perception-aware time optimal path parameterization for quadrotors. CoRR abs/2005.13986 (2020) - [i43]Gilhyun Ryou, Ezra Tal, Sertac Karaman:
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers. CoRR abs/2006.02513 (2020) - [i42]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRR abs/2010.14641 (2020) - [i41]Sertac Karaman, Levent Guvenç:
Low Cost, Educational Internal Combustion Engine Electronic Control Unit Hardware-in-the-Loop Test Systems. CoRR abs/2012.00928 (2020)
2010 – 2019
- 2019
- [j20]Igor Spasojevic, Varun Murali, Sertac Karaman:
Asymptotic Optimality of a Time Optimal Path Parametrization Algorithm. IEEE Control. Syst. Lett. 3(4): 835-840 (2019) - [j19]Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman:
Sparse depth sensing for resource-constrained robots. Int. J. Robotics Res. 38(8) (2019) - [j18]Amr Suleiman, Zhengdong Zhang, Luca Carlone, Sertac Karaman, Vivienne Sze:
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. IEEE J. Solid State Circuits 54(4): 1106-1119 (2019) - [j17]Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus:
Social behavior for autonomous vehicles. Proc. Natl. Acad. Sci. USA 116(50): 24972-24978 (2019) - [j16]Stephen G. McGill, Guy Rosman, Teddy Ort, Alyssa Pierson, Igor Gilitschenski, Brandon Araki, Luke Fletcher, Sertac Karaman, Daniela Rus, John J. Leonard:
Probabilistic Risk Metrics for Navigating Occluded Intersections. IEEE Robotics Autom. Lett. 4(4): 4322-4329 (2019) - [j15]Othón González-Chávez, Daniel Cárdenas-Garcia, Sertac Karaman, Mariano Lizárraga, Joaquín Salas:
Radiometric Calibration of Digital Counts of Infrared Thermal Cameras. IEEE Trans. Instrum. Meas. 68(11): 4387-4399 (2019) - [j14]Luca Carlone, Sertac Karaman:
Attention and Anticipation in Fast Visual-Inertial Navigation. IEEE Trans. Robotics 35(1): 1-20 (2019) - [c100]Rajat Talak, Sertac Karaman, Eytan H. Modiano:
A Theory of Uncertainty Variables for State Estimation and Inference. Allerton 2019: 376-383 - [c99]Varun Murali,