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 2081–2090 of 6092 papers

TitleStatusHype
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving—0
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object DetectionCode2
Fast Kernel Scene FlowCode1
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous DrivingCode2
JointMotion: Joint Self-Supervision for Joint Motion Prediction—0
OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue—0
DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception—0
Embodied Understanding of Driving ScenariosCode3
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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