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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1076–1100 of 2605 papers

TitleStatusHype
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attentionCode0
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles—0
Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Pedestrian detection with high-resolution event camera—0
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection—0
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles—0
Analysis over vision-based models for pedestrian action anticipation—0
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU—0
Moral Machine or Tyranny of the Majority?—0
Merging control in mixed traffic with safety guarantees: a safe sequencing policy with optimal motion control—0
FollowNet: A Comprehensive Benchmark for Car-Following Behavior ModelingCode1
On the Robustness of Segment Anything—0
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
survAIval: Survival Analysis with the Eyes of AI—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
Learning Pedestrian Actions to Ensure Safe Autonomous Driving—0
Testing of Deep Reinforcement Learning Agents with Surrogate ModelsCode0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
Show:102550
← PrevPage 44 of 105Next →

Benchmark Results

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