smitdumore's Stars
AmeyDeshpande97/Motion-Prediction-of-Agents-in-the-Vicinity-of-Self-Driving-Car
The goal of the project was to predict the motion of an autonomous vehicle and the surrounding agents given their trajectory for the past one second. For this, we used rasterized images as an input to a CNN baseline. To the given parameters, we added the velocities along x and y direction. This helped predicting instantaneous velocity of the agent at every time step. In addition, the baseline was modified by adding an LSTM decoder to study their impact on predictions. Instantaneous velocity was an added parameter for the model and predicting instantaneous velocities can be used to improve the motion prediction of the agents and can facilitate agent interaction and cooperative driving
agrimgupta92/sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
applied-ai-collective/Pacman-Deep-Q-Network
Deep Reinforcement Learning Pacman in Pytorch
m5823779/motion-planner-reinforcement-learning
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
tychovdo/PacmanDQN
Deep Reinforcement Learning in Pac-man
niconielsen32/VisualSLAM
backbencher00/stockprice_prediction_LSTM_GRU
stock price prediction by hybride model of LSTM and GRU
j1feng/Autonomous-vehicle-motion-forecasting
Deep learning competition codes
rbenefo/Autonomous-Vehicle-Motion-Prediction
Deep learning algorithm to perform motion prediction on vehicles as part of an autonomous car software stack.
RawthiL/Lyft_Agent-Motion-Prediction
RNN model applied to "Lyft Motion Prediction for Autonomous Vehicles" on kaggle
mbodenham/gridworld-value-iteration
Using value iteration to find the optimum policy in a grid world environment.
arjunkeerthi/monocular_VO
Python implementation of a basic monocular visual odometry algorithm.
FoamoftheSea/KITTI_visual_odometry
Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.
mtszkw/visual-odometry
Feature tracking and (monocular) visual odometry using KITTI dataset
NithishkumarS/ENPM-673
Projects in the domain of Projective geometry, Tracking and Structure from Motion for the Robot Perception course
sakshikakde/DQN_highway_env
sakshikakde/CMSC764-Advance-Numerical-Optimization
My assignemt solutions for CMSC764:Numerical Optimization course offererd by the University of Maryland
medalotte/sampling-based-planners
C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.
VaidehiSom/StereoVO
Stereo visual odometry using Kitty Dataset
michiganrobotics/rob501
Mathematics for Robotics
Attila94/EKF-SLAM
EKF SLAM algorithm in Python.
bapat-akshay/2D-SLAM
SLAM algorithm for a two-dimensional world
ClayFlannigan/icp
iterative closest point
goktug97/PyGraphSLAM
Python implementation of Graph SLAM
JeffLIrion/python-graphslam
Graph SLAM solver in Python
Kei18/mapf-IR
Iterative Refinement for Real-Time Multi-Robot Path Planning (IROS-21)
atb033/multi_agent_path_planning
Python implementation of a bunch of multi-robot path-planning algorithms.
Jiaoyang-Li/RHCR
An efficient solver for lifelong Multi-Agent Path Finding
snmnmin12/ekf-slam
extended kalman filter slam demo
devbharat/gtsam
GTSAM modified to include Sim3 types.