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ORCIDMohan M. Trivedi
Mohan Manubhai Trivedi
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- affiliation: University of California, San Diego, USA
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2020 – today
- 2024
[j145]Ross Greer
, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi:
Patterns of vehicle lights: Addressing complexities of camera-based vehicle light datasets and metrics. Pattern Recognit. Lett. 178: 209-215 (2024)- [c221]Afnan Alofi, Ross Greer, Akshay Gopalkrishnan, Mohan M. Trivedi:
Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets. IV 2024: 77-84 - [c220]Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi:
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. IV 2024: 104-109 - [c219]Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll:
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. IV 2024: 1699-1706 - [i53]Ross Greer, Bjørk Antoniussen, Mathias V. Andersen, Andreas Møgelmose, Mohan M. Trivedi:
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration. CoRR abs/2401.16634 (2024) - [i52]Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll:
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. CoRR abs/2402.03235 (2024) - [i51]Ross Greer, Mohan M. Trivedi:
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets. CoRR abs/2402.07320 (2024) - [i50]Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi:
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. CoRR abs/2403.00196 (2024) - [i49]Akshay Gopalkrishnan, Ross Greer, Mohan M. Trivedi:
Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving. CoRR abs/2403.19838 (2024) - [i48]Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, Mohan M. Trivedi:
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. CoRR abs/2404.12856 (2024) - [i47]Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose, Mohan M. Trivedi:
Driver Activity Classification Using Generalizable Representations from Vision-Language Models. CoRR abs/2404.14906 (2024) - [i46]Ross Greer, Mohan M. Trivedi:
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving. CoRR abs/2405.09049 (2024) - [i45]Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón Santana, Mohan M. Trivedi, Alois Knoll, Salvatore M. Carta, Mirko Marras:
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. CoRR abs/2408.15637 (2024) - 2023
- [c218]Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi:
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. IV 2023: 1-8 - [c217]Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi:
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. IV 2023: 1-7 - [i44]Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context. CoRR abs/2301.05804 (2023) - [i43]Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, Mohan M. Trivedi:
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction. CoRR abs/2301.05805 (2023) - [i42]Ross Greer, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi:
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework. CoRR abs/2301.05838 (2023) - [i41]Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, Mohan M. Trivedi:
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems. CoRR abs/2301.05842 (2023) - [i40]Ross Greer, Lulua Rakla, Akshay Gopalkrishnan, Mohan M. Trivedi:
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain. CoRR abs/2301.12592 (2023) - [i39]Ross Greer, Samveed Desai, Lulua Rakla, Akshay Gopalkrishnan, Afnan Alofi, Mohan M. Trivedi:
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis. CoRR abs/2305.04506 (2023) - [i38]Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, Mohan M. Trivedi:
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations. CoRR abs/2305.04516 (2023) - [i37]Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan M. Trivedi:
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics. CoRR abs/2307.14521 (2023) - [i36]Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar, Mohan M. Trivedi:
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations. CoRR abs/2307.14571 (2023) - 2022
- [j144]Akshay Rangesh, Bowen Zhang, Mohan Manubhai Trivedi:
Gaze Preserving CycleGANs for Eyeglass Removal and Persistent Gaze Estimation. IEEE Trans. Intell. Veh. 7(2): 377-386 (2022) - [c216]Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. WACV (Workshops) 2022: 636-644 - [i35]Ross Greer, Mohan M. Trivedi:
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets. CoRR abs/2205.12579 (2022) - 2021
- [j143]Ross Greer, Nachiket Deo, Mohan M. Trivedi:
Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss. IEEE Robotics Autom. Lett. 6(3): 4907-4914 (2021) - [j142]Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi:
LaneAF: Robust Multi-Lane Detection With Affinity Fields. IEEE Robotics Autom. Lett. 6(4): 7477-7484 (2021) - [c215]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. ITSC 2021: 231-236 - [c214]Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi:
Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation. IV 2021: 165-170 - [i34]Akshay Rangesh, Pranav Maheshwari, Mez Gebre, Siddhesh Mhatre, Vahid Ramezani, Mohan M. Trivedi:
TrackMPNN: A Message Passing Graph Neural Architecture for Multi-Object Tracking. CoRR abs/2101.04206 (2021) - [i33]Hala Abualsaud, Sean Liu, David Lu, Kenny Situ, Akshay Rangesh, Mohan M. Trivedi:
LaneAF: Robust Multi-Lane Detection with Affinity Fields. CoRR abs/2103.12040 (2021) - [i32]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data. CoRR abs/2104.11489 (2021) - [i31]Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi:
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation. CoRR abs/2107.12932 (2021) - [i30]Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset. CoRR abs/2112.00942 (2021) - 2020
- [j141]Giovanni Maria Farinella, Marco Leo, Gérard G. Medioni, Mohan M. Trivedi:
Learning and recognition for assistive computer vision. Pattern Recognit. Lett. 137: 1-2 (2020) - [j140]Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids. IEEE Robotics Autom. Lett. 5(2): 2816-2823 (2020) - [j139]Nachiket Deo, Mohan M. Trivedi:
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness. IEEE Trans. Intell. Veh. 5(1): 41-52 (2020) - [j138]Kevan Yuen, Mohan Manubhai Trivedi:
Looking at Hands in Autonomous Vehicles: A ConvNet Approach Using Part Affinity Fields. IEEE Trans. Intell. Veh. 5(3): 361-371 (2020) - [j137]Akshay Rangesh, Mohan Manubhai Trivedi:
Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road. IEEE Trans. Intell. Veh. 5(3): 449-460 (2020) - [c213]Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi:
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. IV 2020: 1054-1059 - [i29]Nachiket Deo, Mohan M. Trivedi:
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans. CoRR abs/2001.00735 (2020) - [i28]Akshay Rangesh, Bowen Zhang, Mohan M. Trivedi:
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge. CoRR abs/2002.02077 (2020) - [i27]Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi:
Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving. CoRR abs/2005.02545 (2020) - [i26]Ross Greer, Nachiket Deo, Mohan M. Trivedi:
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss. CoRR abs/2011.06679 (2020)
2010 – 2019
- 2019
- [j136]Ravi Kumar Satzoda, Mohan Manubhai Trivedi:
Looking at Vehicles in the Night: Detection and Dynamics of Rear Lights. IEEE Trans. Intell. Transp. Syst. 20(12): 4297-4307 (2019) - [j135]Akshay Rangesh, Mohan Manubhai Trivedi:
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles Using Cameras and LiDARs. IEEE Trans. Intell. Veh. 4(4): 588-599 (2019) - [c212]Nachiket Deo, Nasha Meoli, Akshay Rangesh, Mohan M. Trivedi:
On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity. ICCV Workshops 2019: 2422-2426 - [c211]Akshay Rangesh, Mohan M. Trivedi:
Forced Spatial Attention for Driver Foot Activity Classification. ICCV Workshops 2019: 2514-2521 - [c210]Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. IV 2019: 913-918 - [c209]Siddharth, Mohan M. Trivedi:
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. IV 2019: 1673-1678 - [c208]Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi:
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. IV 2019: 1816-1821 - [i25]Siddharth, Mohan M. Trivedi:
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset. CoRR abs/1905.00503 (2019) - [i24]Walter Zimmer, Akshay Rangesh, Mohan M. Trivedi:
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams. CoRR abs/1905.00525 (2019) - [i23]Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis. CoRR abs/1905.05350 (2019) - [i22]Nachiket Deo, Mohan M. Trivedi:
Scene Induced Multi-Modal Trajectory Forecasting via Planning. CoRR abs/1905.09949 (2019) - [i21]Akshay Rangesh, Mohan M. Trivedi:
Forced Spatial Attention for Driver Foot Activity Classification. CoRR abs/1907.11824 (2019) - [i20]Daniela A. Ridel, Nachiket Deo, Denis F. Wolf, Mohan M. Trivedi:
Scene Compliant Trajectory Forecast with Agent-Centric Spatio-Temporal Grids. CoRR abs/1909.07507 (2019) - [i19]Siddharth, Mohan M. Trivedi:
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights. CoRR abs/1910.00444 (2019) - 2018
- [j134]Andreas Riener, Joe Gabbard, Mohan M. Trivedi:
Special Issue of Presence: Virtual and Augmented Reality Virtual and Augmented Reality for Autonomous Driving and Intelligent Vehicles: Guest Editors' Introduction. Presence Teleoperators Virtual Environ. 27(1): i-iv (2018) - [j133]Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction. IEEE Trans. Intell. Veh. 3(2): 129-140 (2018) - [j132]Sujitha Martin, Sourabh Vora, Kevan Yuen, Mohan Manubhai Trivedi:
Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction. IEEE Trans. Intell. Veh. 3(2): 141-150 (2018) - [j131]Akshay Rangesh, Mohan Manubhai Trivedi:
When Vehicles See Pedestrians With Phones: A Multicue Framework for Recognizing Phone-Based Activities of Pedestrians. IEEE Trans. Intell. Veh. 3(2): 218-227 (2018) - [j130]Sourabh Vora, Akshay Rangesh, Mohan Manubhai Trivedi:
Driver Gaze Zone Estimation Using Convolutional Neural Networks: A General Framework and Ablative Analysis. IEEE Trans. Intell. Veh. 3(3): 254-265 (2018) - [c207]Akshay Rangesh, Mohan M. Trivedi:
HandyNet: A One-Stop Solution to Detect, Segment, Localize & Analyze Driver Hands. CVPR Workshops 2018: 1103-1110 - [c206]Nachiket Deo, Mohan M. Trivedi:
Convolutional Social Pooling for Vehicle Trajectory Prediction. CVPR Workshops 2018: 1468-1476 - [c205]Marco Leo, Antonino Furnari, Gérard G. Medioni, Mohan M. Trivedi, Giovanni Maria Farinella:
Deep Learning for Assistive Computer Vision. ECCV Workshops (6) 2018: 3-14 - [c204]Ishan Gupta, Akshay Rangesh, Mohan M. Trivedi:
3D Bounding Boxes for Road Vehicles: A One-Stage, Localization Prioritized Approach Using Single Monocular Images. ECCV Workshops (5) 2018: 626-641 - [c203]Akshay Rangesh, Nachiket Deo, Kevan Yuen, Kirill Pirozhenko, Pujitha Gunaratne, Heishiro Toyoda, Mohan M. Trivedi:
Exploring the Situational Awareness of Humans inside Autonomous Vehicles. ITSC 2018: 190-197 - [c202]Nachiket Deo, Mohan M. Trivedi:
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs. Intelligent Vehicles Symposium 2018: 1179-1184 - [c201]Eduardo Romera, Luis Miguel Bergasa, José M. Álvarez, Mohan M. Trivedi:
Train Here, Deploy There: Robust Segmentation in Unseen Domains. Intelligent Vehicles Symposium 2018: 1828-1833 - [i18]Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi:
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction. CoRR abs/1801.06523 (2018) - [i17]Akshay Rangesh, Mohan M. Trivedi:
When Vehicles See Pedestrians with Phones: A Multi-Cue Framework for Recognizing Phone-based Activities of Pedestrians. CoRR abs/1801.08234 (2018) - [i16]Sujitha Martin, Sourabh Vora, Kevan Yuen, Mohan M. Trivedi:
Dynamics of Driver's Gaze: Explorations in Behavior Modeling & Maneuver Prediction. CoRR abs/1802.00066 (2018) - [i15]Kevan Yuen, Mohan M. Trivedi:
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation. CoRR abs/1802.02137 (2018) - [i14]Sourabh Vora, Akshay Rangesh, Mohan M. Trivedi:
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis. CoRR abs/1802.02690 (2018) - [i13]Siddharth, Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi:
Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach. CoRR abs/1802.07854 (2018) - [i12]Akshay Rangesh, Mohan M. Trivedi:
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs. CoRR abs/1802.08755 (2018) - [i11]Kevan Yuen, Mohan M. Trivedi:
Looking at Hands in Autonomous Vehicles: A ConvNet Approach using Part Affinity Fields. CoRR abs/1804.01176 (2018) - [i10]Akshay Rangesh, Mohan M. Trivedi:
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands. CoRR abs/1804.07834 (2018) - [i9]Nachiket Deo, Mohan M. Trivedi:
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs. CoRR abs/1805.05499 (2018) - [i8]Nachiket Deo, Mohan M. Trivedi:
Convolutional Social Pooling for Vehicle Trajectory Prediction. CoRR abs/1805.06771 (2018) - [i7]Nachiket Deo, Mohan M. Trivedi:
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness. CoRR abs/1811.06047 (2018) - [i6]Akshay Rangesh, Mohan M. Trivedi:
Ground Plane Polling for 6DoF Pose Estimation of Objects on the Road. CoRR abs/1811.06666 (2018) - 2017
- [j129]Mike Daily, Swarup Medasani, Reinhold Behringer, Mohan M. Trivedi:
Self-Driving Cars. Computer 50(12): 18-23 (2017) - [j128]Marco Leo, Gérard G. Medioni, Mohan M. Trivedi, Takeo Kanade, Giovanni Maria Farinella:
Computer vision for assistive technologies. Comput. Vis. Image Underst. 154: 1-15 (2017) - [j127]Eshed Ohn-Bar, Mohan Manubhai Trivedi:
Multi-scale volumes for deep object detection and localization. Pattern Recognit. 61: 557-572 (2017) - [j126]Eshed Ohn-Bar, Mohan Manubhai Trivedi:
Are all objects equal? Deep spatio-temporal importance prediction in driving videos. Pattern Recognit. 64: 425-436 (2017) - [j125]John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen, Wade Trappe:
Signal Processing for Smart Vehicle Technologies: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 34(2): 18-21 (2017) - [j124]Kevan Yuen, Mohan M. Trivedi:
An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation. IEEE Trans. Intell. Veh. 2(4): 321-331 (2017) - [c200]Nachiket Deo, Mohan M. Trivedi:
Learning and predicting on-road pedestrian behavior around vehicles. ITSC 2017: 1-6 - [c199]Sourabh Vora, Akshay Rangesh, Mohan M. Trivedi:
On generalizing driver gaze zone estimation using convolutional neural networks. Intelligent Vehicles Symposium 2017: 849-854 - [c198]Sujitha Martin, Mohan M. Trivedi:
Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers. Intelligent Vehicles Symposium 2017: 1541-1545 - [i5]Eshed Ohn-Bar, Mohan M. Trivedi:
To Boost or Not to Boost? On the Limits of Boosted Trees for Object Detection. CoRR abs/1701.01692 (2017) - [i4]Akshay Rangesh, Kevan Yuen, Ravi Kumar Satzoda, Rakesh Nattoji Rajaram, Pujitha Gunaratne, Mohan M. Trivedi:
A Multimodal, Full-Surround Vehicular Testbed for Naturalistic Studies and Benchmarking: Design, Calibration and Deployment. CoRR abs/1709.07502 (2017) - 2016
- [j123]Giovanni Maria Farinella, Takeo Kanade, Marco Leo, Gérard G. Medioni, Mohan M. Trivedi:
Special issue on Assistive Computer Vision and Robotics - Part I. Comput. Vis. Image Underst. 148: 1-2 (2016) - [j122]Giovanni Maria Farinella, Takeo Kanade, Marco Leo, Gérard G. Medioni, Mohan Manubhai Trivedi:
Special Issue on Assistive Computer Vision and Robotics - "Assistive Solutions for Mobility, Communication and HMI". Comput. Vis. Image Underst. 149: 1-2 (2016) - [j121]John H. L. Hansen, Kazuya Takeda, Sanjeev M. Naik, Mohan M. Trivedi, Gerhard Uwe Schmidt, Yingying (Jennifer) Chen:
Signal Processing for Smart Vehicle Technologies [From the Guest Editors]. IEEE Signal Process. Mag. 33(6): 12-13 (2016) - [j120]Ravi Kumar Satzoda, Mohan Manubhai Trivedi:
Multipart Vehicle Detection Using Symmetry-Derived Analysis and Active Learning. IEEE Trans. Intell. Transp. Syst. 17(4): 926-937 (2016) - [j119]Akshay Rangesh, Eshed Ohn-Bar, Mohan Manubhai Trivedi:
Long-Term Multi-Cue Tracking of Hands in Vehicles. IEEE Trans. Intell. Transp. Syst. 17(5): 1483-1492 (2016) - [j118]Morten Borno Jensen, Mark Philip Philipsen, Andreas Møgelmose, Thomas Baltzer Moeslund, Mohan Manubhai Trivedi:
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives. IEEE Trans. Intell. Transp. Syst. 17(7): 1800-1815 (2016) - [j117]Rakesh Nattoji Rajaram, Eshed Ohn-Bar, Mohan Manubhai Trivedi:
Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations. IEEE Trans. Intell. Transp. Syst. 17(12): 3565-3576 (2016) - [j116]Danil V. Prokhorov, Sadayuki Tsugawa, Christoph Stiller, Christian Laugier, Emilio Frazzoli, Mohan M. Trivedi, Dimitar P. Filev:
IEEE Transactions on Intelligent Vehicles Senior Associate Editors. IEEE Trans. Intell. Veh. 1(1): 3-5 (2016) - [j115]Eshed Ohn-Bar, Mohan Manubhai Trivedi:
Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles. IEEE Trans. Intell. Veh. 1(1): 90-104 (2016) - [j114]Yuan Li, Andreas Møgelmose, Mohan Manubhai Trivedi:
Pushing the "Speed Limit": High-Accuracy US Traffic Sign Recognition With Convolutional Neural Networks. IEEE Trans. Intell. Veh. 1(2): 167-176 (2016) - [j113]Jacob Velling Dueholm, Miklas Strøm Kristoffersen, Ravi Kumar Satzoda, Thomas Baltzer Moeslund, Mohan Manubhai Trivedi:
Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays. IEEE Trans. Intell. Veh. 1(2): 203-214 (2016) - [j112]Ravi Kumar Satzoda, Sean Lee, Frankie Lu, Mohan Manubhai Trivedi:
Vision-Based Front and Rear Surround Understanding Using Embedded Processors. IEEE Trans. Intell. Veh. 1(4): 335-345 (2016) - [j111]Rakesh Nattoji Rajaram, Eshed Ohn-Bar, Mohan Manubhai Trivedi:
RefineNet: Refining Object Detectors for Autonomous Driving. IEEE Trans. Intell. Veh. 1(4): 358-368 (2016) - [c197]Frankie Lu, Sean Lee, Ravi Kumar Satzoda, Mohan M. Trivedi:
Embedded Computing Framework for Vision-Based Real-Time Surround Threat Analysis and Driver Assistance. CVPR Workshops 2016: 901-909 - [c196]Akshay Rangesh, Eshed Ohn-Bar, Mohan M. Trivedi:
Hidden Hands: Tracking Hands with an Occlusion Aware Tracker. CVPR Workshops 2016: 1224-1231 - [c195]Miklas S. Kristoffersen, Jacob V. Dueholm, Ravi Kumar Satzoda, Mohan M. Trivedi, Andreas Møgelmose, Thomas B. Moeslund:
Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. CVPR Workshops 2016: 1584-1591 - [c194]Eshed Ohn-Bar, Mohan M. Trivedi:
Detection and localization with multi-scale models. ICPR 2016: 1382-1387 - [c193]Kevan Yuen, Sujitha Martin, Mohan M. Trivedi:
On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset. ICPR 2016: 2777-2782 - [c192]