SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 281290 of 2605 papers

TitleStatusHype
doScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language NavigationCode0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion0
Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios0
Stag-1: Towards Realistic 4D Driving Simulation with Video Generation ModelCode2
Text to Blind Motion0
Extrapolated Urban View Synthesis BenchmarkCode1
VTD: Visual and Tactile Database for Driver State and Behavior Perception0
UNCOVER: Unknown Class Object Detection for Autonomous Vehicles in Real-time0
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles0
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified