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 4451–4475 of 6092 papers

TitleStatusHype
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study—0
Deep Metric Learning for Open World Semantic SegmentationCode1
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous DrivingCode1
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection—0
Stereo Waterdrop Removal with Row-wise Dilated AttentionCode1
ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation—0
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review—0
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
SLAMP: Stochastic Latent Appearance and Motion PredictionCode1
Deep Neural Networks and PIDE discretizations—0
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting—0
Investigating Attention Mechanism in 3D Point Cloud Object DetectionCode1
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding—0
Understanding the merging behavior patterns and evolutionary mechanism at freeway on-ramps—0
Real-time Streaming Perception System for Autonomous Driving—0
Brain-Inspired Deep Imitation Learning for Autonomous Driving SystemsCode0
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection—0
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Lyapunov-based uncertainty-aware safe reinforcement learning—0
Surrogate Model-Based Explainability Methods for Point Cloud NNsCode1
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception ChallengeCode3
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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