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 1751–1775 of 2605 papers

TitleStatusHype
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
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous VehiclesCode1
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
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
Issues in Object Detection in Videos using Common Single-Image CNNs—0
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of VehiclesCode1
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile—0
V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes—0
Scalable Multirobot Planning for Informed Spatial Sampling—0
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver—0
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
High-Performance FPGA-based Accelerator for Bayesian Neural Networks—0
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
HAPS-ITS: Enabling Future ITS Services in Trans-Continental Highways—0
Safety of the Intended Driving Behavior Using Rulebooks—0
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
Learning Image Attacks toward Vision Guided Autonomous Vehicles—0
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy—0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices—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
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Benchmark Results

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