Bharat in Betastartup field guide
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No. 1286Problem statementMobility and logistics

Adaptive Variable Resolution 2.5D Lidar Mapping for Dynamic Environment Perception

Source

Source summary

The software should classify LiDAR points into drivable terrain, fixed obstacles and moving objects, then project them into a variable-resolution 2.5D map. Nearby cells should be finer than distant ones, avoiding alignment errors and information loss. The source gives example scales of 5 cm within 10 m and 50 cm out to 100 m, not universal requirements. Deliverables include visualization and measured classification accuracy, latency and memory use against a uniform-resolution map.

No. 1270Problem statementMobility and logistics

Adaptive Path Planning and Collision Avoidance for Autonomous Vehicles on Unstructured Indian Roads

The challenge asks for closed-loop autonomous-driving simulation in MATLAB and Simulink for unstructured Indian mixed traffic. Perception, short-term trajectory prediction, path planning, decision logic and vehicle motion must handle unclear lanes, irregular movement, pedestrians, animals and obstacles. Teams should test five scenarios, including at least two detailed RoadRunner scenes, and report replanning latency, path smoothness and completion performance with models, a technical report and demonstration video. Real-world driving safety is not established by the proposal.

No. 1295Opportunity areaMobility and logistics

Integrated Polar Expedition Logistics and Asset Management System

The proposed centralized platform supports polar expeditions through planning, cargo tracking, inventory, personnel movement and emergency-response coordination. The saved source provides this functional scope but no further technical or operational requirements.

No. 1366Problem statementMobility and logistics

Quantum-Inspired Intelligent Traffic Route Optimization in Transportation Systems Using Metaheuristic Optimization

Develop classical-computing, quantum-inspired metaheuristic routing, such as QPSO, for large vehicle-routing and shortest-path problems. Model weighted transport graphs under live or simulated traffic, handle constraints and evaluate travel time/distance/congestion, convergence, solution quality and scalability against conventional metaheuristics and exact methods. Deliver mathematical formulation and a software platform. Quantum hardware is not required; claimed superiority must be benchmarked. The source contains an unfilled deliverables-table placeholder.