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 551–575 of 6092 papers

TitleStatusHype
Exploring Map-based Features for Efficient Attention-based Vehicle Motion PredictionCode1
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
End-to-end Autonomous Driving Perception with Sequential Latent Representation LearningCode1
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production VehiclesCode1
End-to-End Lane Marker Detection via Row-wise ClassificationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and PriorsCode1
Efficient Risk-Averse Reinforcement LearningCode1
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference SpeedCode1
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVLCode1
ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoVCode1
Efficient Baselines for Motion Prediction in Autonomous DrivingCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality FusionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
Dynamic Conditional Imitation Learning for Autonomous DrivingCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
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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