SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4401–4450 of 6092 papers

TitleStatusHype
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction—0
Temporally Consistent Depth Prediction with Flow-Guided Memory Units—0
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks—0
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving—0
Temporal Triplane Transformers as Occupancy World Models—0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction—0
Testing Autonomous Systems with Believed Equivalence Refinement—0
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques—0
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles—0
Testing predictive automated driving systems: lessons learned and future recommendations—0
Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting—0
Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test—0
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos—0
Text Extraction From Texture Images Using Masked Signal Decomposition—0
Texture Underfitting for Domain Adaptation—0
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation—0
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images—0
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness—0
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators—0
The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving—0
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks—0
The Compact Support Neural Network—0
The Design of Informative Take-Over Requests for Semi-Autonomous Cyber-Physical Systems: Combining Spoken Language and Visual Icons in a Drone-Controller Setting—0
The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks—0
The global consensus on the risk management of autonomous driving—0
The Greedy Dirichlet Process Filter - An Online Clustering Multi-Target Tracker—0
The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset—0
The importance of space and time in neuromorphic cognitive agents—0
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine—0
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector—0
The NEOLIX Open Dataset for Autonomous Driving—0
The Past and Present of Imitation Learning: A Citation Chain Study—0
The Pedestrian Patterns Dataset—0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving—0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition—0
The Robust Semantic Segmentation UNCV2023 Challenge Results—0
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes—0
The Translucent Patch: A Physical and Universal Attack on Object Detectors—0
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications—0
The Virtuous Machine - Old Ethics for New Technology?—0
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing—0
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration—0
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion—0
TiCoSS: Tightening the Coupling between Semantic Segmentation and Stereo Matching within A Joint Learning Framework—0
TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems—0
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric—0
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving—0
Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified