SOTAVerified

Self-Driving Cars

Self-driving cars : the task of making a car that can drive itself without human guidance.

( Image credit: Learning a Driving Simulator )

Papers

Showing 301–350 of 514 papers

TitleStatusHype
Traffic Lane Detection using FCN—0
Traffic Sign Detection With Event Cameras and DCNN—0
Traffic Sign Recognition Using Local Vision Transformer—0
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution—0
TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation—0
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene—0
Triply Supervised Decoder Networks for Joint Detection and Segmentation—0
Trusted Neural Networks for Safety-Constrained Autonomous Control—0
Trusting Semantic Segmentation Networks—0
Trustworthy XAI and Application—0
Two-stream convolutional networks for end-to-end learning of self-driving cars—0
UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles—0
Uncertainties of Latent Representations in Computer Vision—0
Uncertainty depth estimation with gated images for 3D reconstruction—0
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis—0
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges—0
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction—0
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems—0
Vehicle Communication Strategies for Simulated Highway Driving—0
Video super-resolution for single-photon LIDAR—0
Visual anomaly detection in video by variational autoencoder—0
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards—0
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?—0
What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment—0
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features—0
Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction—0
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors—0
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
Convolutional Recurrent Network for Road Boundary Extraction—0
3D-FlowNet: Event-based optical flow estimation with 3D representation—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
Accelerating Recursive Partition-Based Causal Structure Learning—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Accurate and Robust Scale Recovery for Monocular Visual Odometry Based on Plane Geometry—0
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
Adaptive Compression of Word Embeddings—0
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories—0
A direct time-of-flight image sensor with in-pixel surface detection and dynamic vision—0
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks—0
Adversarial Attacks and Defense on Texts: A Survey—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks—0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network—0
A framework for the development of intelligent mechanical systems—0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets—0
A Hybrid Learner for Simultaneous Localization and Mapping—0
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