Akshay Rangesh
Orcid: 0000-0002-4496-6072
According to our database1,
Akshay Rangesh
authored at least 32 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction.
CoRR, 2023
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context.
CoRR, 2023
2022
IEEE Trans. Intell. Veh., 2022
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
2021
PhD thesis, 2021
IEEE Robotics Autom. Lett., 2021
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation.
CoRR, 2021
CoRR, 2021
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
IEEE Trans. Intell. Veh., 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs.
IEEE Trans. Intell. Veh., 2019
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Driver Gaze Zone Estimation Using Convolutional Neural Networks: A General Framework and Ablative Analysis.
IEEE Trans. Intell. Veh., 2018
When Vehicles See Pedestrians With Phones: A Multicue Framework for Recognizing Phone-Based Activities of Pedestrians.
IEEE Trans. Intell. Veh., 2018
How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction.
IEEE Trans. Intell. Veh., 2018
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs.
CoRR, 2018
When Vehicles See Pedestrians with Phones: A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians.
CoRR, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2017
A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment.
CoRR, 2017
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
2016
IEEE Trans. Intell. Transp. Syst., 2016
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Pedestrians and their phones - detecting phone-based activities of pedestrians for autonomous vehicles.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Preparatory coordination of head, eyes and hands: Experimental study at intersections.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016