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 5176–5200 of 6092 papers

TitleStatusHype
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar—0
Goal-Directed Occupancy Prediction for Lane-Following Actors—0
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms—0
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera—0
3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation—0
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation—0
Future Frame Prediction of a Video Sequence—0
Driving Through Ghosts: Behavioral Cloning with False Positives—0
Certainty Equivalent Perception-Based ControlCode0
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving—0
RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features—0
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
Bosch Deep Learning Hardware Benchmark—0
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails—0
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics—0
SoDA: Multi-Object Tracking with Soft Data Association—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Image Stylization for Robust Features—0
Relevance Attack on DetectorsCode0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline—0
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor—0
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze—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