SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 2605 papers

TitleStatusHype
Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity—0
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications—0
Reducing DNN Properties to Enable Falsification with Adversarial AttacksCode0
Issues in Object Detection in Videos using Common Single-Image CNNs—0
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile—0
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes—0
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver—0
Scalable Multirobot Planning for Informed Spatial Sampling—0
High-Performance FPGA-based Accelerator for Bayesian Neural Networks—0
HAPS-ITS: Enabling Future ITS Services in Trans-Continental Highways—0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
Safety of the Intended Driving Behavior Using Rulebooks—0
Learning Image Attacks toward Vision Guided Autonomous Vehicles—0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices—0
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy—0
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet AutoencoderCode0
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Situational Coverage and Rate Distribution Maps for 5G V2X Systems Using Ray-Tracing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified