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 1826–1850 of 2605 papers

TitleStatusHype
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel—0
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers—0
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles—0
Coherent, super resolved radar beamforming using self-supervised learning—0
Cylindrical coordinates for LiDAR point cloud compression—0
Place recognition survey: An update on deep learning approaches—0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception—0
Deterministic Guided LiDAR Depth Map Completion—0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning—0
Taxonomy of Machine Learning Safety: A Survey and Primer—0
A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning—0
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection—0
Deterministic Iteratively Built KD-Tree with KNN Search for Exact ApplicationsCode0
Spectral Temporal Graph Neural Network for Trajectory Prediction—0
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Benchmark Results

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