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 2976–3000 of 6092 papers

TitleStatusHype
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support—0
Joint Communication, Sensing and Localization for Airborne Applications—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Joint Beamforming and Interference Cancellation in MmWave Wideband Full-Duplex Systems—0
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
Autonomous Driving Simulator based on Neurorobotics Platform—0
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges—0
A Concise Survey on Lane Topology Reasoning for HD Mapping—0
3D Point Cloud Processing and Learning for Autonomous Driving—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving—0
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services—0
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data—0
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics—0
Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)—0
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving—0
LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction—0
Deep Reinforcement Learning, a textbook—0
Autonomous driving of trucks in off-road environment—0
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration—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