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

Showing 13761400 of 6092 papers

TitleStatusHype
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous DrivingCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
RODNet: Radar Object Detection Using Cross-Modal SupervisionCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D GeometryCode1
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object DetectionCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
Spatiotemporal Relationship Reasoning for Pedestrian Intent PredictionCode1
Key Points Estimation and Point Instance Segmentation Approach for Lane DetectionCode1
An LSTM-Based Autonomous Driving Model Using Waymo Open DatasetCode1
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed TrafficCode1
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving ModelsCode1
Universal Semantic Segmentation for Fisheye Urban Driving ImagesCode1
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement LearningCode1
Probabilistic 3D Multi-Object Tracking for Autonomous DrivingCode1
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous DrivingCode1
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature DescriptionCode1
Visual Semantic SLAM with Landmarks for Large-Scale Outdoor EnvironmentCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Learning by CheatingCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified