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 4551–4575 of 6092 papers

TitleStatusHype
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera—0
Learning Progressive Point Embeddings for 3D Point Cloud Generation—0
Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar SignalsCode1
Deep Learning for Multi-View Stereo via Plane Sweep: A Survey—0
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual PoliciesCode1
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World AttacksCode1
2nd Place Solution for Waymo Open Dataset Challenge -- Real-time 2D Object DetectionCode2
Robustness of Object Detectors in Degrading Weather Conditions—0
2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object DetectionCode2
EdgeConv with Attention Module for Monocular Depth Estimation—0
A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving—0
Scene Transformer: A unified architecture for predicting multiple agent trajectoriesCode1
Visual Sensor Pose Optimisation Using Visibility Models for Smart Cities—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
Stein ICP for Uncertainty Estimation in Point Cloud MatchingCode0
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos—0
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning—0
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices—0
Constrained Generalized Additive 2 Model with Consideration of High-Order InteractionsCode1
RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous DrivingCode1
Multiscale Domain Adaptive YOLO for Cross-Domain Object DetectionCode1
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing—0
Asymmetrical Bi-RNN for pedestrian trajectory encodingCode1
SDNet: mutil-branch for single image deraining using swinCode0
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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