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 3926–3950 of 6092 papers

TitleStatusHype
NMR: Neural Manifold Representation for Autonomous Driving—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
STDC-MA Network for Semantic Segmentation—0
Efficient Risk-Averse Reinforcement LearningCode1
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey—0
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction—0
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation—0
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing—0
Probabilistic Symmetry for Multi-Agent DynamicsCode0
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring—0
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic SegmentationCode0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D QueriesCode2
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving—0
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers—0
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene EncodingCode1
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
Depth Estimation with Simplified Transformer—0
TJ4DRadSet: A 4D Radar Dataset for Autonomous DrivingCode2
Rotationally Equivariant 3D Object Detection—0
Control-Aware Prediction Objectives for Autonomous Driving—0
Dataset for Robust and Accurate Leading Vehicle Velocity Recognition—0
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame—0
Show:102550
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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