A gaze model improves autonomous driving
Webalong with the head pose as an auxiliary task, making the model robust to head pose variations, without needing any complex preprocessing or hand-crafted feature extraction.Then the network’s output is clustered into nine gaze classes relevant in the driving scenario. The model achieves 95.8% accuracy on the test set and 78.2% … Web3D object detection from the LiDAR point cloud is fundamental to autonomous driving. Large-scale outdoor scenes usually feature significant variance in instance scales, thus requiring features rich in long-range and fine-grained information to support accurate detection. Recent detectors leverage the power of window-based transformers to model …
A gaze model improves autonomous driving
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WebA gaze model improves autonomous driving @article{Liu2024AGM, title={A gaze model improves autonomous driving}, author={Congcong Liu and Y. Chen and Lei Tai and Haoyang Ye and Ming Liu and Bertram E. Shi}, journal={Proceedings of the 11th ACM … WebAs human attention can be revealed from gaze data, capturing and analyzing gaze information has emerged in recent years to benefit autonomous driving technology. Previous works in this context have primarily aimed at predicting "where" human drivers look at and lack knowledge of "what" objects drivers focus on.
WebTo this end, we propose a framework that exploits drivers’ time- series eye gaze and fixation patterns to anticipate their real-time intention over possible future manoeuvres, enabling a smart and collaborative ADAS that can aid drivers to overcome safety- … WebJun 1, 2024 · Vision-based autonomous driving through imitation learning mimics the behavior of human drivers by mapping driver view images to driving actions. This article shows that performance can be...
WebHuman gaze reveals a wealth of information about internal cognitive state. Thus, gaze-related research has significantly increased in computer vision, natural language processing, decision learning, and robotics in recent years. WebA gaze model improves autonomous driving. In Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, page 33. ACM, 2024. Google Scholar; Stefan Mathe and Cristian Sminchisescu. Actions in the eye: Dynamic gaze …
WebJul 31, 2024 · The gaze tracking system was implemented as a model-based system using a Kinect v2.0 sensor and was adjusted on a set-up environment and tested on a suitable-features driving simulation environment. The average obtained results are promising, having hit ratios between 96.37% and 81.84%.
WebAug 6, 2024 · 2.1 Participants. The 50 participants (28 female, 22 male) taking part in the driving simulator study were aged between 20 to 43 years (M = 25.9, SD = 4.7).All held a valid driver’s license for M = 8.3 years (SD = 4.6) and had no prior automated system experience.. 2.2 Facilities and Driving Simulator. The study took place in a fixed-base … german news live streamingWebA Gaze Model Improves Autonomous Driving. ETRA, 2024 Congcong Liu*, Yuying Chen*, Lei Tai , Haoyang Ye, Ming Liu, Bertram Shi bibtex / page / video Focal Loss in 3D Object Detection. IEEE Robotics and Automation Letters (RA-L), 2024 ICRA, 2024 Peng … christl and the session clubWebThe method is evaluated on a data set of 124 experiments from 75 drivers collected in a safety-critical semi-autonomous driving scenario. The results illustrate the efficacy of the framework by correctly anticipating the drivers' intentions about 3 seconds beforehand … german newspaper obituariesWebApr 17, 2024 · Fig. 1: The autonomous driving system with gaze-modulated dropout. The gaze network ( Pix2Pix) generates gaze map for the gaze-modulated dropout in the imitation network as [ 10]. As the input, the gray-scale drive-view image is forwarded to networks for path following or overtaking according to the command. german newspaper in english onlineWebTraffic light detection by camera is a challenging task for autonomous driving mainly due to the small size of traffic lights in the road scene especially for early detection. The limited resolution in the corresponding area of traffic lights reduces their contrast to the background, as well as the effectiveness of the visual cues from the traffic light itself. christland umc marion indianaWebIn autonomous driving, epistemic uncertainty can help quantify the capability that a trained model generalizes to unseen environments. The main contributions of our work are as follows. 1) We train a gaze model to estimate gaze maps … christ langwasserWebthat gaze behavior may be better treated as a modulating effect than as an additional input. Both approaches improve model generalization to unseen environments. We demonstrate that modelling auxiliary cues not directly related to the control commands improves the … christ last date to apply 2022